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a/translations/kn/1-Introduction/1-intro-to-ML/README.md +++ b/translations/kn/1-Introduction/1-intro-to-ML/README.md @@ -1,12 +1,3 @@ - # ಯಂತ್ರ ಅಧ್ಯಯನಕ್ಕೆ ಪರಿಚಯ ## [ಪೂರ್ವ-ಲೇಕ್ಚರ್ ಕ್ವಿಜ್](https://ff-quizzes.netlify.app/en/ml/) diff --git a/translations/kn/1-Introduction/1-intro-to-ML/assignment.md b/translations/kn/1-Introduction/1-intro-to-ML/assignment.md index 280414794..0551cdce2 100644 --- a/translations/kn/1-Introduction/1-intro-to-ML/assignment.md +++ b/translations/kn/1-Introduction/1-intro-to-ML/assignment.md @@ -1,12 +1,3 @@ - # ಎದ್ದು ಚಾಲನೆ ಮಾಡಿಕೊಳ್ಳಿ ## ಸೂಚನೆಗಳು diff --git a/translations/kn/1-Introduction/2-history-of-ML/README.md b/translations/kn/1-Introduction/2-history-of-ML/README.md index e1a95b14c..52ba40a85 100644 --- a/translations/kn/1-Introduction/2-history-of-ML/README.md +++ b/translations/kn/1-Introduction/2-history-of-ML/README.md @@ -1,12 +1,3 @@ - # ಯಂತ್ರ ಅಧ್ಯಯನದ ಇತಿಹಾಸ ![ಯಂತ್ರ ಅಧ್ಯಯನದ ಇತಿಹಾಸದ ಸಾರಾಂಶವನ್ನು ಸ್ಕೆಚ್‌ನೋಟ್‌ನಲ್ಲಿ](../../../../translated_images/kn/ml-history.a1bdfd4ce1f464d9.webp) diff --git a/translations/kn/1-Introduction/2-history-of-ML/assignment.md b/translations/kn/1-Introduction/2-history-of-ML/assignment.md index 21988d996..54ff60b47 100644 --- a/translations/kn/1-Introduction/2-history-of-ML/assignment.md +++ b/translations/kn/1-Introduction/2-history-of-ML/assignment.md @@ -1,12 +1,3 @@ - # ಟೈಮ್‌ಲೈನ್ ರಚಿಸಿ ## ಸೂಚನೆಗಳು diff --git a/translations/kn/1-Introduction/3-fairness/README.md b/translations/kn/1-Introduction/3-fairness/README.md index dc6d48311..2f6969384 100644 --- a/translations/kn/1-Introduction/3-fairness/README.md +++ b/translations/kn/1-Introduction/3-fairness/README.md @@ -1,12 +1,3 @@ - # ಜವಾಬ್ದಾರಿಯುತ AI ಜೊತೆಗೆ ಯಂತ್ರ ಅಧ್ಯಯನ ಪರಿಹಾರಗಳನ್ನು ನಿರ್ಮಿಸುವುದು ![ಯಂತ್ರ ಅಧ್ಯಯನದಲ್ಲಿ ಜವಾಬ್ದಾರಿಯುತ AI ಸಂಕ್ಷಿಪ್ತ ಟಿಪ್ಪಣಿ](../../../../translated_images/kn/ml-fairness.ef296ebec6afc98a.webp) diff --git a/translations/kn/1-Introduction/3-fairness/assignment.md b/translations/kn/1-Introduction/3-fairness/assignment.md index 50b483809..3d540413e 100644 --- a/translations/kn/1-Introduction/3-fairness/assignment.md +++ b/translations/kn/1-Introduction/3-fairness/assignment.md @@ -1,12 +1,3 @@ - # ಜವಾಬ್ದಾರಿಯುತ AI ಟೂಲ್‌ಬಾಕ್ಸ್ ಅನ್ನು ಅನ್ವೇಷಿಸಿ ## ಸೂಚನೆಗಳು diff --git a/translations/kn/1-Introduction/4-techniques-of-ML/README.md b/translations/kn/1-Introduction/4-techniques-of-ML/README.md index bcb69197b..e32fa7c93 100644 --- a/translations/kn/1-Introduction/4-techniques-of-ML/README.md +++ b/translations/kn/1-Introduction/4-techniques-of-ML/README.md @@ -1,12 +1,3 @@ - # ಯಂತ್ರ ಅಧ್ಯಯನ ತಂತ್ರಗಳು ಯಂತ್ರ ಅಧ್ಯಯನ ಮಾದರಿಗಳನ್ನು ನಿರ್ಮಿಸುವುದು, ಬಳಸುವುದು ಮತ್ತು ನಿರ್ವಹಿಸುವ ಪ್ರಕ್ರಿಯೆ ಮತ್ತು ಅವು ಬಳಸುವ ಡೇಟಾ ಅನೇಕ ಇತರ ಅಭಿವೃದ್ಧಿ ಕಾರ್ಯಪ್ರವಾಹಗಳಿಂದ ಬಹಳ ವಿಭಿನ್ನ ಪ್ರಕ್ರಿಯೆಯಾಗಿದೆ. ಈ ಪಾಠದಲ್ಲಿ, ನಾವು ಈ ಪ್ರಕ್ರಿಯೆಯನ್ನು ಸ್ಪಷ್ಟಪಡಿಸಿ, ನೀವು ತಿಳಿದುಕೊಳ್ಳಬೇಕಾದ ಪ್ರಮುಖ ತಂತ್ರಗಳನ್ನು ವಿವರಿಸುವೆವು. ನೀವು: diff --git a/translations/kn/1-Introduction/4-techniques-of-ML/assignment.md b/translations/kn/1-Introduction/4-techniques-of-ML/assignment.md index 0d9b7c2c5..628248bc5 100644 --- a/translations/kn/1-Introduction/4-techniques-of-ML/assignment.md +++ b/translations/kn/1-Introduction/4-techniques-of-ML/assignment.md @@ -1,12 +1,3 @@ - # ಡೇಟಾ ಸೈನ್ಟಿಸ್ಟ್ ಅನ್ನು ಸಂದರ್ಶನ ಮಾಡಿ ## ಸೂಚನೆಗಳು diff --git a/translations/kn/1-Introduction/README.md b/translations/kn/1-Introduction/README.md index 9aa832e31..98b1890bd 100644 --- a/translations/kn/1-Introduction/README.md +++ b/translations/kn/1-Introduction/README.md @@ -1,12 +1,3 @@ - # ಯಂತ್ರ ಅಧ್ಯಯನಕ್ಕೆ ಪರಿಚಯ ಪಠ್ಯಕ್ರಮದ ಈ ವಿಭಾಗದಲ್ಲಿ, ನೀವು ಯಂತ್ರ ಅಧ್ಯಯನ ಕ್ಷೇತ್ರದ ಮೂಲ ತತ್ವಗಳನ್ನು ಪರಿಚಯಿಸಿಕೊಳ್ಳುತ್ತೀರಿ, ಅದು ಏನು ಮತ್ತು ಅದರ ಇತಿಹಾಸ ಮತ್ತು ಸಂಶೋಧಕರು ಅದನ್ನು ಬಳಸುವ ತಂತ್ರಗಳನ್ನು ತಿಳಿಯುತ್ತೀರಿ. ಬನ್ನಿ, ಈ ಹೊಸ ಯಂತ್ರ ಅಧ್ಯಯನ ಲೋಕವನ್ನು ಒಟ್ಟಿಗೆ ಅನ್ವೇಷಿಸೋಣ! diff --git a/translations/kn/2-Regression/1-Tools/README.md b/translations/kn/2-Regression/1-Tools/README.md index d0f9ea3ea..96d049d39 100644 --- a/translations/kn/2-Regression/1-Tools/README.md +++ b/translations/kn/2-Regression/1-Tools/README.md @@ -1,12 +1,3 @@ - # ರಿಗ್ರೆಶನ್ ಮಾದರಿಗಳಿಗಾಗಿ ಪೈಥಾನ್ ಮತ್ತು ಸ್ಕಿಕಿಟ್-ಲರ್ನ್‌ನೊಂದಿಗೆ ಪ್ರಾರಂಭಿಸಿ ![ಸ್ಕೆಚ್‌ನೋಟ್ನಲ್ಲಿ ರಿಗ್ರೆಶನ್‌ಗಳ ಸಾರಾಂಶ](../../../../translated_images/kn/ml-regression.4e4f70e3b3ed446e.webp) diff --git a/translations/kn/2-Regression/1-Tools/assignment.md b/translations/kn/2-Regression/1-Tools/assignment.md index ae8c2d077..c3b2e073b 100644 --- a/translations/kn/2-Regression/1-Tools/assignment.md +++ b/translations/kn/2-Regression/1-Tools/assignment.md @@ -1,12 +1,3 @@ - # ಸ್ಕಿಕಿಟ್-ಲರ್ನ್‌ನೊಂದಿಗೆ ರಿಗ್ರೆಶನ್ ## ಸೂಚನೆಗಳು diff --git a/translations/kn/2-Regression/1-Tools/solution/Julia/README.md b/translations/kn/2-Regression/1-Tools/solution/Julia/README.md index b67b8db71..50ff18837 100644 --- a/translations/kn/2-Regression/1-Tools/solution/Julia/README.md +++ b/translations/kn/2-Regression/1-Tools/solution/Julia/README.md @@ -1,12 +1,3 @@ - ಇದು ತಾತ್ಕಾಲಿಕ ಪ್ಲೇಸ್‌ಹೋಲ್ಡರ್ ಆಗಿದೆ --- diff --git a/translations/kn/2-Regression/2-Data/README.md b/translations/kn/2-Regression/2-Data/README.md index 6d3520338..39c602680 100644 --- a/translations/kn/2-Regression/2-Data/README.md +++ b/translations/kn/2-Regression/2-Data/README.md @@ -1,12 +1,3 @@ - # Scikit-learn ಬಳಸಿ ರೆಗ್ರೆಶನ್ ಮಾದರಿಯನ್ನು ನಿರ್ಮಿಸಿ: ಡೇಟಾವನ್ನು ಸಿದ್ಧಪಡಿಸಿ ಮತ್ತು ದೃಶ್ಯೀಕರಿಸಿ ![ಡೇಟಾ ದೃಶ್ಯೀಕರಣ ಇನ್ಫೋಗ್ರಾಫಿಕ್](../../../../translated_images/kn/data-visualization.54e56dded7c1a804.webp) diff --git a/translations/kn/2-Regression/2-Data/assignment.md b/translations/kn/2-Regression/2-Data/assignment.md index 25ea630b1..d80b37f57 100644 --- a/translations/kn/2-Regression/2-Data/assignment.md +++ b/translations/kn/2-Regression/2-Data/assignment.md @@ -1,12 +1,3 @@ - # ದೃಶ್ಯೀಕರಣಗಳನ್ನು ಅನ್ವೇಷಿಸುವುದು ಡೇಟಾ ದೃಶ್ಯೀಕರಣಕ್ಕಾಗಿ ಲಭ್ಯವಿರುವ ಹಲವು ವಿಭಿನ್ನ ಗ್ರಂಥಾಲಯಗಳಿವೆ. ಈ ಪಾಠದಲ್ಲಿ ಪಂಪ್ಕಿನ್ ಡೇಟಾವನ್ನು ಬಳಸಿಕೊಂಡು matplotlib ಮತ್ತು seaborn ಬಳಸಿ ಕೆಲವು ದೃಶ್ಯೀಕರಣಗಳನ್ನು ಸೃಷ್ಟಿಸಿ ಒಂದು ಮಾದರಿ ನೋಟ್ಬುಕ್‌ನಲ್ಲಿ. ಯಾವ ಗ್ರಂಥಾಲಯಗಳನ್ನು ಬಳಸುವುದು ಸುಲಭವಾಗಿದೆ? diff --git a/translations/kn/2-Regression/2-Data/solution/Julia/README.md b/translations/kn/2-Regression/2-Data/solution/Julia/README.md index dde7f3625..052fc43e9 100644 --- a/translations/kn/2-Regression/2-Data/solution/Julia/README.md +++ b/translations/kn/2-Regression/2-Data/solution/Julia/README.md @@ -1,12 +1,3 @@ - ಇದು ತಾತ್ಕಾಲಿಕ ಪ್ಲೇಸ್‌ಹೋಲ್ಡರ್ ಆಗಿದೆ --- diff --git a/translations/kn/2-Regression/3-Linear/README.md b/translations/kn/2-Regression/3-Linear/README.md index 6329611e9..085385007 100644 --- a/translations/kn/2-Regression/3-Linear/README.md +++ b/translations/kn/2-Regression/3-Linear/README.md @@ -1,12 +1,3 @@ - # Scikit-learn ಬಳಸಿ ರೆಗ್ರೆಶನ್ ಮಾದರಿಯನ್ನು ನಿರ್ಮಿಸಿ: ರೆಗ್ರೆಶನ್ ನಾಲ್ಕು ರೀತಿಗಳು ![ರೇಖೀಯ ಮತ್ತು ಬಹುಪದ ರೆಗ್ರೆಶನ್ ಇನ್ಫೋಗ್ರಾಫಿಕ್](../../../../translated_images/kn/linear-polynomial.5523c7cb6576ccab.webp) diff --git a/translations/kn/2-Regression/3-Linear/assignment.md b/translations/kn/2-Regression/3-Linear/assignment.md index 83238cc96..c3fc839ec 100644 --- a/translations/kn/2-Regression/3-Linear/assignment.md +++ b/translations/kn/2-Regression/3-Linear/assignment.md @@ -1,12 +1,3 @@ - # ರೆಗ್ರೆಶನ್ ಮಾದರಿಯನ್ನು ರಚಿಸಿ ## ಸೂಚನೆಗಳು diff --git a/translations/kn/2-Regression/3-Linear/solution/Julia/README.md b/translations/kn/2-Regression/3-Linear/solution/Julia/README.md index 44931346e..ea2a01193 100644 --- a/translations/kn/2-Regression/3-Linear/solution/Julia/README.md +++ b/translations/kn/2-Regression/3-Linear/solution/Julia/README.md @@ -1,12 +1,3 @@ - ಇದು ತಾತ್ಕಾಲಿಕ ಪ್ಲೇಸ್‌ಹೋಲ್ಡರ್ ಆಗಿದೆ --- diff --git a/translations/kn/2-Regression/4-Logistic/README.md b/translations/kn/2-Regression/4-Logistic/README.md index 3aa45d6e3..ba32cb022 100644 --- a/translations/kn/2-Regression/4-Logistic/README.md +++ b/translations/kn/2-Regression/4-Logistic/README.md @@ -1,12 +1,3 @@ - # ವರ್ಗಗಳನ್ನು ಭವಿಷ್ಯವಾಣಿ ಮಾಡಲು ಲಾಜಿಸ್ಟಿಕ್ ರಿಗ್ರೆಶನ್ ![ಲಾಜಿಸ್ಟಿಕ್ ವಿರುದ್ಧ ಲೀನಿಯರ್ ರಿಗ್ರೆಶನ್ ಇನ್ಫೋಗ್ರಾಫಿಕ್](../../../../translated_images/kn/linear-vs-logistic.ba180bf95e7ee667.webp) diff --git a/translations/kn/2-Regression/4-Logistic/assignment.md b/translations/kn/2-Regression/4-Logistic/assignment.md index e9902906d..02624b503 100644 --- a/translations/kn/2-Regression/4-Logistic/assignment.md +++ b/translations/kn/2-Regression/4-Logistic/assignment.md @@ -1,12 +1,3 @@ - # ಕೆಲವು ರಿಗ್ರೆಶನ್ ಮರುಪ್ರಯತ್ನ ## ಸೂಚನೆಗಳು diff --git a/translations/kn/2-Regression/4-Logistic/solution/Julia/README.md b/translations/kn/2-Regression/4-Logistic/solution/Julia/README.md index d0dec7c81..e82e62df6 100644 --- a/translations/kn/2-Regression/4-Logistic/solution/Julia/README.md +++ b/translations/kn/2-Regression/4-Logistic/solution/Julia/README.md @@ -1,12 +1,3 @@ - ಇದು ತಾತ್ಕಾಲಿಕ ಪ್ಲೇಸ್‌ಹೋಲ್ಡರ್ ಆಗಿದೆ --- diff --git a/translations/kn/2-Regression/README.md b/translations/kn/2-Regression/README.md index bc78e540b..579772240 100644 --- a/translations/kn/2-Regression/README.md +++ b/translations/kn/2-Regression/README.md @@ -1,12 +1,3 @@ - # ಯಂತ್ರ ಅಧ್ಯಯನಕ್ಕಾಗಿ ರಿಗ್ರೆಶನ್ ಮಾದರಿಗಳು ## ಪ್ರಾದೇಶಿಕ ವಿಷಯ: ಉತ್ತರ ಅಮೆರಿಕದ ಕಂಬಳಿಯ ಬೆಲೆಗೆ ರಿಗ್ರೆಶನ್ ಮಾದರಿಗಳು 🎃 diff --git a/translations/kn/3-Web-App/1-Web-App/README.md b/translations/kn/3-Web-App/1-Web-App/README.md index d813e5255..73012543d 100644 --- a/translations/kn/3-Web-App/1-Web-App/README.md +++ b/translations/kn/3-Web-App/1-Web-App/README.md @@ -1,12 +1,3 @@ - # ಎಂಎಲ್ ಮಾದರಿಯನ್ನು ಬಳಸಲು ವೆಬ್ ಅಪ್ಲಿಕೇಶನ್ ನಿರ್ಮಿಸಿ ಈ ಪಾಠದಲ್ಲಿ, ನೀವು NUFORC ಡೇಟಾಬೇಸ್‌ನಿಂದ ಪಡೆದಿರುವ _ಹಿಂದಿನ ಶತಮಾನದಲ್ಲಿ ನಡೆದ UFO ದೃಶ್ಯಾವಳಿಗಳು_ ಎಂಬ ಅತೀ ವಿಶಿಷ್ಟ ಡೇಟಾ ಸೆಟ್ ಮೇಲೆ ಎಂಎಲ್ ಮಾದರಿಯನ್ನು ತರಬೇತುಗೊಳಿಸುವಿರಿ. diff --git a/translations/kn/3-Web-App/1-Web-App/assignment.md b/translations/kn/3-Web-App/1-Web-App/assignment.md index fbf250681..48f649494 100644 --- a/translations/kn/3-Web-App/1-Web-App/assignment.md +++ b/translations/kn/3-Web-App/1-Web-App/assignment.md @@ -1,12 +1,3 @@ - # ಬೇರೆ ಮಾದರಿಯನ್ನು ಪ್ರಯತ್ನಿಸಿ ## ಸೂಚನೆಗಳು diff --git a/translations/kn/3-Web-App/README.md b/translations/kn/3-Web-App/README.md index cfc60c356..5e31882c9 100644 --- a/translations/kn/3-Web-App/README.md +++ b/translations/kn/3-Web-App/README.md @@ -1,12 +1,3 @@ - # ನಿಮ್ಮ ML ಮಾದರಿಯನ್ನು ಬಳಸಲು ವೆಬ್ ಅಪ್ಲಿಕೇಶನ್ ನಿರ್ಮಿಸಿ ಈ ಪಠ್ಯಕ್ರಮದ ವಿಭಾಗದಲ್ಲಿ, ನೀವು ಅನ್ವಯಿತ ML ವಿಷಯವನ್ನು ಪರಿಚಯಿಸಿಕೊಳ್ಳುತ್ತೀರಿ: ನಿಮ್ಮ Scikit-learn ಮಾದರಿಯನ್ನು ಫೈಲ್ ಆಗಿ ಉಳಿಸುವುದು, ಅದನ್ನು ವೆಬ್ ಅಪ್ಲಿಕೇಶನ್‌ನಲ್ಲಿ ಭವಿಷ್ಯವಾಣಿ ಮಾಡಲು ಬಳಸಬಹುದು. ಮಾದರಿ ಉಳಿಸಿದ ನಂತರ, ನೀವು ಅದನ್ನು Flask ನಲ್ಲಿ ನಿರ್ಮಿಸಲಾದ ವೆಬ್ ಅಪ್ಲಿಕೇಶನ್‌ನಲ್ಲಿ ಹೇಗೆ ಬಳಸುವುದು ಎಂದು ಕಲಿಯುತ್ತೀರಿ. ಮೊದಲು, ನೀವು UFO ದೃಶ್ಯಗಳ ಬಗ್ಗೆ ಇರುವ ಕೆಲವು ಡೇಟಾ ಬಳಸಿ ಮಾದರಿಯನ್ನು ರಚಿಸುವಿರಿ! ನಂತರ, ನೀವು ಸೆಕೆಂಡುಗಳ ಸಂಖ್ಯೆ, ಅಕ್ಷಾಂಶ ಮತ್ತು ರೇಖಾಂಶ ಮೌಲ್ಯವನ್ನು ನಮೂದಿಸಲು ಅನುಮತಿಸುವ ವೆಬ್ ಅಪ್ಲಿಕೇಶನ್ ಅನ್ನು ನಿರ್ಮಿಸುವಿರಿ, ಅದು ಯಾವ ದೇಶ UFO ನೋಡಿದ ಎಂದು ಭವಿಷ್ಯವಾಣಿ ಮಾಡುತ್ತದೆ. diff --git a/translations/kn/4-Classification/1-Introduction/README.md b/translations/kn/4-Classification/1-Introduction/README.md index 53c773644..bcbc2ccb6 100644 --- a/translations/kn/4-Classification/1-Introduction/README.md +++ b/translations/kn/4-Classification/1-Introduction/README.md @@ -1,12 +1,3 @@ - # ವರ್ಗೀಕರಣಕ್ಕೆ ಪರಿಚಯ ಈ ನಾಲ್ಕು ಪಾಠಗಳಲ್ಲಿ, ನೀವು ಕ್ಲಾಸಿಕ್ ಮೆಷಿನ್ ಲರ್ನಿಂಗ್‌ನ ಮೂಲಭೂತ ಗಮನಾರ್ಹ ವಿಷಯವಾದ _ವರ್ಗೀಕರಣ_ ಅನ್ನು ಅನ್ವೇಷಿಸುವಿರಿ. ಏಷ್ಯಾ ಮತ್ತು ಭಾರತದಲ್ಲಿನ ಎಲ್ಲಾ ಅದ್ಭುತ ಆಹಾರಗಳ ಬಗ್ಗೆ ಡೇಟಾಸೆಟ್ ಬಳಸಿ ವಿವಿಧ ವರ್ಗೀಕರಣ ಆಲ್ಗಾರಿಥಮ್‌ಗಳನ್ನು ಹೇಗೆ ಬಳಸುವುದು ಎಂಬುದನ್ನು ನಾವು ನೋಡೋಣ. ನೀವು ಹಸಿವಾಗಿದ್ದೀರಾ ಎಂದು ಆಶಿಸುತ್ತೇವೆ! diff --git a/translations/kn/4-Classification/1-Introduction/assignment.md b/translations/kn/4-Classification/1-Introduction/assignment.md index f60c47b2d..35bcdfcf2 100644 --- a/translations/kn/4-Classification/1-Introduction/assignment.md +++ b/translations/kn/4-Classification/1-Introduction/assignment.md @@ -1,12 +1,3 @@ - # ವರ್ಗೀಕರಣ ವಿಧಾನಗಳನ್ನು ಅನ್ವೇಷಿಸಿ ## ಸೂಚನೆಗಳು diff --git a/translations/kn/4-Classification/1-Introduction/solution/Julia/README.md b/translations/kn/4-Classification/1-Introduction/solution/Julia/README.md index 3ea200872..dc90185e6 100644 --- a/translations/kn/4-Classification/1-Introduction/solution/Julia/README.md +++ b/translations/kn/4-Classification/1-Introduction/solution/Julia/README.md @@ -1,12 +1,3 @@ - ಇದು ತಾತ್ಕಾಲಿಕ ಪ್ಲೇಸ್‌ಹೋಲ್ಡರ್ ಆಗಿದೆ --- diff --git a/translations/kn/4-Classification/2-Classifiers-1/README.md b/translations/kn/4-Classification/2-Classifiers-1/README.md index cdf3cf09a..51d864c07 100644 --- a/translations/kn/4-Classification/2-Classifiers-1/README.md +++ b/translations/kn/4-Classification/2-Classifiers-1/README.md @@ -1,12 +1,3 @@ - # ಆಹಾರ ವರ್ಗೀಕರಣಗಳು 1 ಈ ಪಾಠದಲ್ಲಿ, ನೀವು ಹಿಂದಿನ ಪಾಠದಿಂದ ಉಳಿಸಿಕೊಂಡ ಸಮತೋಲನ, ಸ್ವಚ್ಛವಾದ ಆಹಾರಗಳ ಬಗ್ಗೆ ಸಂಪೂರ್ಣ ಡೇಟಾಸೆಟ್ ಅನ್ನು ಬಳಸುತ್ತೀರಿ. diff --git a/translations/kn/4-Classification/2-Classifiers-1/assignment.md b/translations/kn/4-Classification/2-Classifiers-1/assignment.md index 27cd96cf9..c6fa67d97 100644 --- a/translations/kn/4-Classification/2-Classifiers-1/assignment.md +++ b/translations/kn/4-Classification/2-Classifiers-1/assignment.md @@ -1,12 +1,3 @@ - # ಸೊಲ್ವರ್‌ಗಳನ್ನು ಅಧ್ಯಯನ ಮಾಡಿ ## ಸೂಚನೆಗಳು diff --git a/translations/kn/4-Classification/2-Classifiers-1/solution/Julia/README.md b/translations/kn/4-Classification/2-Classifiers-1/solution/Julia/README.md index 9ea1cbb9c..4ac5189ca 100644 --- a/translations/kn/4-Classification/2-Classifiers-1/solution/Julia/README.md +++ b/translations/kn/4-Classification/2-Classifiers-1/solution/Julia/README.md @@ -1,12 +1,3 @@ - ಇದು ತಾತ್ಕಾಲಿಕ ಪ್ಲೇಸ್‌ಹೋಲ್ಡರ್ ಆಗಿದೆ --- diff --git a/translations/kn/4-Classification/3-Classifiers-2/README.md b/translations/kn/4-Classification/3-Classifiers-2/README.md index d8ba5915e..555044689 100644 --- a/translations/kn/4-Classification/3-Classifiers-2/README.md +++ b/translations/kn/4-Classification/3-Classifiers-2/README.md @@ -1,12 +1,3 @@ - # ಆಹಾರ ವರ್ಗೀಕರಣಗಳು 2 ಈ ಎರಡನೇ ವರ್ಗೀಕರಣ ಪಾಠದಲ್ಲಿ, ನೀವು ಸಂಖ್ಯಾತ್ಮಕ ಡೇಟಾವನ್ನು ವರ್ಗೀಕರಿಸುವ ಇನ್ನಷ್ಟು ವಿಧಾನಗಳನ್ನು ಅನ್ವೇಷಿಸುವಿರಿ. ನೀವು ಒಂದು ವರ್ಗೀಕರಣಕಾರಿಯನ್ನು ಇನ್ನೊಂದರಿಗಿಂತ ಆಯ್ಕೆಮಾಡುವ ಪರಿಣಾಮಗಳ ಬಗ್ಗೆ ಸಹ ತಿಳಿಯುವಿರಿ. diff --git a/translations/kn/4-Classification/3-Classifiers-2/assignment.md b/translations/kn/4-Classification/3-Classifiers-2/assignment.md index 580b666da..273c52062 100644 --- a/translations/kn/4-Classification/3-Classifiers-2/assignment.md +++ b/translations/kn/4-Classification/3-Classifiers-2/assignment.md @@ -1,12 +1,3 @@ - # ಪ್ಯಾರಾಮೀಟರ್ ಪ್ಲೇ ## ಸೂಚನೆಗಳು diff --git a/translations/kn/4-Classification/3-Classifiers-2/solution/Julia/README.md b/translations/kn/4-Classification/3-Classifiers-2/solution/Julia/README.md index 45e7bf7c6..e82e62df6 100644 --- a/translations/kn/4-Classification/3-Classifiers-2/solution/Julia/README.md +++ b/translations/kn/4-Classification/3-Classifiers-2/solution/Julia/README.md @@ -1,12 +1,3 @@ - ಇದು ತಾತ್ಕಾಲಿಕ ಪ್ಲೇಸ್‌ಹೋಲ್ಡರ್ ಆಗಿದೆ --- diff --git a/translations/kn/4-Classification/4-Applied/README.md b/translations/kn/4-Classification/4-Applied/README.md index df2ecf411..e80ec24ff 100644 --- a/translations/kn/4-Classification/4-Applied/README.md +++ b/translations/kn/4-Classification/4-Applied/README.md @@ -1,12 +1,3 @@ - # ರುಚಿಕರ ಆಹಾರ ಶಿಫಾರಸು ವೆಬ್ ಅಪ್ಲಿಕೇಶನ್ ನಿರ್ಮಿಸಿ ಈ ಪಾಠದಲ್ಲಿ, ನೀವು ಹಿಂದಿನ ಪಾಠಗಳಲ್ಲಿ ಕಲಿತ ಕೆಲವು ತಂತ್ರಗಳನ್ನು ಬಳಸಿಕೊಂಡು ವರ್ಗೀಕರಣ ಮಾದರಿಯನ್ನು ನಿರ್ಮಿಸುವಿರಿ ಮತ್ತು ಈ ಸರಣಿಯಲ್ಲಿ ಬಳಸಲಾದ ರುಚಿಕರ ಆಹಾರ ಡೇಟಾಸೆಟ್‌ನೊಂದಿಗೆ. ಜೊತೆಗೆ, ನೀವು ಉಳಿಸಿದ ಮಾದರಿಯನ್ನು ಬಳಸಲು ಒಂದು ಸಣ್ಣ ವೆಬ್ ಅಪ್ಲಿಕೇಶನ್ ಅನ್ನು Onnx ನ ವೆಬ್ ರನ್‌ಟೈಮ್ ಅನ್ನು ಉಪಯೋಗಿಸಿ ನಿರ್ಮಿಸುವಿರಿ. diff --git a/translations/kn/4-Classification/4-Applied/assignment.md b/translations/kn/4-Classification/4-Applied/assignment.md index 1fc57d857..450b11809 100644 --- a/translations/kn/4-Classification/4-Applied/assignment.md +++ b/translations/kn/4-Classification/4-Applied/assignment.md @@ -1,12 +1,3 @@ - # ಶಿಫಾರಸುಕಾರರನ್ನು ನಿರ್ಮಿಸಿ ## ಸೂಚನೆಗಳು diff --git a/translations/kn/4-Classification/README.md b/translations/kn/4-Classification/README.md index d7ee0479e..4022550a3 100644 --- a/translations/kn/4-Classification/README.md +++ b/translations/kn/4-Classification/README.md @@ -1,12 +1,3 @@ - # ವರ್ಗೀಕರಣದೊಂದಿಗೆ ಪ್ರಾರಂಭಿಸುವುದು ## ಪ್ರಾದೇಶಿಕ ವಿಷಯ: ರುಚಿಕರ ಏಷ್ಯನ್ ಮತ್ತು ಭಾರತೀಯ ಆಹಾರಗಳು 🍜 diff --git a/translations/kn/5-Clustering/1-Visualize/README.md b/translations/kn/5-Clustering/1-Visualize/README.md index f4fe86a1a..888391268 100644 --- a/translations/kn/5-Clustering/1-Visualize/README.md +++ b/translations/kn/5-Clustering/1-Visualize/README.md @@ -1,12 +1,3 @@ - # ಕ್ಲಸ್ಟರಿಂಗ್ ಪರಿಚಯ ಕ್ಲಸ್ಟರಿಂಗ್ ಒಂದು ರೀತಿಯ [ಅನಿಯಂತ್ರಿತ ಕಲಿಕೆ](https://wikipedia.org/wiki/Unsupervised_learning) ಆಗಿದ್ದು, ಅದು ಡೇಟಾಸೆಟ್ ಲೇಬಲ್ ಮಾಡದಿರುವುದು ಅಥವಾ ಅದರ ಇನ್‌ಪುಟ್‌ಗಳು ಪೂರ್ವನಿರ್ಧರಿತ ಔಟ್‌ಪುಟ್‌ಗಳೊಂದಿಗೆ ಹೊಂದಾಣಿಕೆ ಮಾಡದಿರುವುದಾಗಿ ಊಹಿಸುತ್ತದೆ. ಇದು ಲೇಬಲ್ ಮಾಡದ ಡೇಟಾದ ಮೂಲಕ ವಿವಿಧ ಆಲ್ಗಾರಿಥಮ್‌ಗಳನ್ನು ಬಳಸಿಕೊಂಡು ಡೇಟಾದಲ್ಲಿನ ಮಾದರಿಗಳನ್ನು ಗುರುತಿಸಿ ಗುಂಪುಗಳನ್ನು ಒದಗಿಸುತ್ತದೆ. diff --git a/translations/kn/5-Clustering/1-Visualize/assignment.md b/translations/kn/5-Clustering/1-Visualize/assignment.md index 08bd97f07..e0f386ca6 100644 --- a/translations/kn/5-Clustering/1-Visualize/assignment.md +++ b/translations/kn/5-Clustering/1-Visualize/assignment.md @@ -1,12 +1,3 @@ - # ಕ್ಲಸ್ಟರಿಂಗ್‌ಗಾಗಿ ಇತರ ದೃಶ್ಯೀಕರಣಗಳನ್ನು ಸಂಶೋಧಿಸಿ ## ಸೂಚನೆಗಳು diff --git a/translations/kn/5-Clustering/1-Visualize/solution/Julia/README.md b/translations/kn/5-Clustering/1-Visualize/solution/Julia/README.md index a8d16df71..54927a540 100644 --- a/translations/kn/5-Clustering/1-Visualize/solution/Julia/README.md +++ b/translations/kn/5-Clustering/1-Visualize/solution/Julia/README.md @@ -1,12 +1,3 @@ - ಇದು ತಾತ್ಕಾಲಿಕ ಪ್ಲೇಸ್‌ಹೋಲ್ಡರ್ ಆಗಿದೆ --- diff --git a/translations/kn/5-Clustering/2-K-Means/README.md b/translations/kn/5-Clustering/2-K-Means/README.md index 0018a6dbf..6332fbb63 100644 --- a/translations/kn/5-Clustering/2-K-Means/README.md +++ b/translations/kn/5-Clustering/2-K-Means/README.md @@ -1,12 +1,3 @@ - # K-Means ಕ್ಲಸ್ಟರಿಂಗ್ ## [ಪೂರ್ವ-ಪಾಠ ಕ್ವಿಜ್](https://ff-quizzes.netlify.app/en/ml/) diff --git a/translations/kn/5-Clustering/2-K-Means/assignment.md b/translations/kn/5-Clustering/2-K-Means/assignment.md index 7d049c286..11b1bb0e5 100644 --- a/translations/kn/5-Clustering/2-K-Means/assignment.md +++ b/translations/kn/5-Clustering/2-K-Means/assignment.md @@ -1,12 +1,3 @@ - # ವಿಭಿನ್ನ ಕ್ಲಸ್ಟರಿಂಗ್ ವಿಧಾನಗಳನ್ನು ಪ್ರಯತ್ನಿಸಿ ## ಸೂಚನೆಗಳು diff --git a/translations/kn/5-Clustering/2-K-Means/solution/Julia/README.md b/translations/kn/5-Clustering/2-K-Means/solution/Julia/README.md index 3290319ef..2fdd1ac4b 100644 --- a/translations/kn/5-Clustering/2-K-Means/solution/Julia/README.md +++ b/translations/kn/5-Clustering/2-K-Means/solution/Julia/README.md @@ -1,12 +1,3 @@ - ಇದು ತಾತ್ಕಾಲಿಕ ಪ್ಲೇಸ್‌ಹೋಲ್ಡರ್ ಆಗಿದೆ --- diff --git a/translations/kn/5-Clustering/README.md b/translations/kn/5-Clustering/README.md index 0d535b339..9d407339a 100644 --- a/translations/kn/5-Clustering/README.md +++ b/translations/kn/5-Clustering/README.md @@ -1,12 +1,3 @@ - # ಯಂತ್ರ ಅಧ್ಯಯನಕ್ಕಾಗಿ ಕ್ಲಸ್ಟರಿಂಗ್ ಮಾದರಿಗಳು ಕ್ಲಸ್ಟರಿಂಗ್ ಎಂದರೆ ಒಂದು ಯಂತ್ರ ಅಧ್ಯಯನ ಕಾರ್ಯವಾಗಿದ್ದು, ಅದು ಪರಸ್ಪರ ಹೋಲುವ ವಸ್ತುಗಳನ್ನು ಕಂಡುಹಿಡಿದು ಅವುಗಳನ್ನು ಕ್ಲಸ್ಟರ್‌ಗಳು ಎಂದು ಕರೆಯುವ ಗುಂಪುಗಳಲ್ಲಿ ಸೇರಿಸುವುದು. ಯಂತ್ರ ಅಧ್ಯಯನದ ಇತರ ವಿಧಾನಗಳಿಂದ ಕ್ಲಸ್ಟರಿಂಗ್ ವಿಭಿನ್ನವಾಗಿರುವುದು ಎಂದರೆ, ಇದು ಸ್ವಯಂಚಾಲಿತವಾಗಿ ನಡೆಯುತ್ತದೆ, ವಾಸ್ತವದಲ್ಲಿ, ಇದು ಮೇಲ್ವಿಚಾರಿತ ಅಧ್ಯಯನದ ವಿರುದ್ಧವಾಗಿದೆ ಎಂದು ಹೇಳಬಹುದು. diff --git a/translations/kn/6-NLP/1-Introduction-to-NLP/README.md b/translations/kn/6-NLP/1-Introduction-to-NLP/README.md index 88e1c142c..0454679d9 100644 --- a/translations/kn/6-NLP/1-Introduction-to-NLP/README.md +++ b/translations/kn/6-NLP/1-Introduction-to-NLP/README.md @@ -1,12 +1,3 @@ - # ನೈಸರ್ಗಿಕ ಭಾಷಾ ಪ್ರಕ್ರಿಯೆ ಪರಿಚಯ ಈ ಪಾಠವು *ನೈಸರ್ಗಿಕ ಭಾಷಾ ಪ್ರಕ್ರಿಯೆ* ಎಂಬ ಉಪಕ್ಷೇತ್ರವಾದ *ಗಣನಾತ್ಮಕ ಭಾಷಾಶಾಸ್ತ್ರ* ನ ಸಂಕ್ಷಿಪ್ತ ಇತಿಹಾಸ ಮತ್ತು ಪ್ರಮುಖ ತತ್ವಗಳನ್ನು ಒಳಗೊಂಡಿದೆ. diff --git a/translations/kn/6-NLP/1-Introduction-to-NLP/assignment.md b/translations/kn/6-NLP/1-Introduction-to-NLP/assignment.md index 88a5f7b2b..c11b3a229 100644 --- a/translations/kn/6-NLP/1-Introduction-to-NLP/assignment.md +++ b/translations/kn/6-NLP/1-Introduction-to-NLP/assignment.md @@ -1,12 +1,3 @@ - # ಬಾಟ್ ಹುಡುಕಿ ## ಸೂಚನೆಗಳು diff --git a/translations/kn/6-NLP/2-Tasks/README.md b/translations/kn/6-NLP/2-Tasks/README.md index 152f10a52..aff456f5d 100644 --- a/translations/kn/6-NLP/2-Tasks/README.md +++ b/translations/kn/6-NLP/2-Tasks/README.md @@ -1,12 +1,3 @@ - # ಸಾಮಾನ್ಯ ನೈಸರ್ಗಿಕ ಭಾಷಾ ಪ್ರಕ್ರಿಯೆ ಕಾರ್ಯಗಳು ಮತ್ತು ತಂತ್ರಗಳು ಬಹುತೇಕ *ನೈಸರ್ಗಿಕ ಭಾಷಾ ಪ್ರಕ್ರಿಯೆ* ಕಾರ್ಯಗಳಿಗೆ, ಪ್ರಕ್ರಿಯೆಗೊಳಿಸಬೇಕಾದ ಪಠ್ಯವನ್ನು ವಿಭಜಿಸಿ, ಪರಿಶೀಲಿಸಿ, ಮತ್ತು ಫಲಿತಾಂಶಗಳನ್ನು ನಿಯಮಗಳು ಮತ್ತು ಡೇಟಾ ಸೆಟ್‌ಗಳೊಂದಿಗೆ ಸಂಗ್ರಹಿಸಬೇಕು ಅಥವಾ ಕ್ರಾಸ್ ರೆಫರೆನ್ಸ್ ಮಾಡಬೇಕು. ಈ ಕಾರ್ಯಗಳು, ಪ್ರೋಗ್ರಾಮರ್‌ಗೆ ಪಠ್ಯದ _ಅರ್ಥ_ ಅಥವಾ _ಉದ್ದೇಶ_ ಅಥವಾ ಕೇವಲ ಪದಗಳ ಮತ್ತು ಪದಗಳ _ಆವರ್ತನ_ ಅನ್ನು ಪಡೆಯಲು ಅನುಮತಿಸುತ್ತವೆ. diff --git a/translations/kn/6-NLP/2-Tasks/assignment.md b/translations/kn/6-NLP/2-Tasks/assignment.md index 6484ed2e5..c881abf98 100644 --- a/translations/kn/6-NLP/2-Tasks/assignment.md +++ b/translations/kn/6-NLP/2-Tasks/assignment.md @@ -1,12 +1,3 @@ - # ಬಾಟ್‌ಗೆ ಪ್ರತಿಕ್ರಿಯೆ ನೀಡಿಸುವಂತೆ ಮಾಡಿ ## ಸೂಚನೆಗಳು diff --git a/translations/kn/6-NLP/3-Translation-Sentiment/README.md b/translations/kn/6-NLP/3-Translation-Sentiment/README.md index aaab434a1..1b97f854f 100644 --- a/translations/kn/6-NLP/3-Translation-Sentiment/README.md +++ b/translations/kn/6-NLP/3-Translation-Sentiment/README.md @@ -1,12 +1,3 @@ - # ಅನುವಾದ ಮತ್ತು ಭಾವನಾತ್ಮಕ ವಿಶ್ಲೇಷಣೆ ML ನೊಂದಿಗೆ ಹಿಂದಿನ ಪಾಠಗಳಲ್ಲಿ ನೀವು `TextBlob` ಬಳಸಿ ಮೂಲ ಬಾಟ್ ಅನ್ನು ಹೇಗೆ ನಿರ್ಮಿಸುವುದು ಎಂದು ಕಲಿತಿರಿ, ಇದು ಮೂಲಭೂತ NLP ಕಾರ್ಯಗಳನ್ನು ನಿರ್ವಹಿಸಲು ML ಅನ್ನು ಹಿಂಬದಿಯಲ್ಲಿ ಒಳಗೊಂಡಿರುವ ಗ್ರಂಥಾಲಯವಾಗಿದೆ, ಉದಾಹರಣೆಗೆ ನಾಮಪದ ವಾಕ್ಯাংশ ಹೊರತೆಗೆಯುವುದು. ಗಣಕ ಭಾಷಾಶಾಸ್ತ್ರದಲ್ಲಿ ಮತ್ತೊಂದು ಪ್ರಮುಖ ಸವಾಲು ಎಂದರೆ ಒಂದು ಮಾತಾಡುವ ಅಥವಾ ಬರೆಯುವ ಭಾಷೆಯಿಂದ ಮತ್ತೊಂದು ಭಾಷೆಗೆ ವಾಕ್ಯವನ್ನು ನಿಖರವಾಗಿ _ಅನುವಾದ_ ಮಾಡುವುದು. diff --git a/translations/kn/6-NLP/3-Translation-Sentiment/assignment.md b/translations/kn/6-NLP/3-Translation-Sentiment/assignment.md index bc243c76f..40db796d6 100644 --- a/translations/kn/6-NLP/3-Translation-Sentiment/assignment.md +++ b/translations/kn/6-NLP/3-Translation-Sentiment/assignment.md @@ -1,12 +1,3 @@ - # ಕಾವ್ಯಾತ್ಮಕ ಪರವಾನಗಿ ## ಸೂಚನೆಗಳು diff --git a/translations/kn/6-NLP/3-Translation-Sentiment/solution/Julia/README.md b/translations/kn/6-NLP/3-Translation-Sentiment/solution/Julia/README.md index 2780e398f..f875e9d49 100644 --- a/translations/kn/6-NLP/3-Translation-Sentiment/solution/Julia/README.md +++ b/translations/kn/6-NLP/3-Translation-Sentiment/solution/Julia/README.md @@ -1,12 +1,3 @@ - ಇದು ತಾತ್ಕಾಲಿಕ ಪ್ಲೇಸ್‌ಹೋಲ್ಡರ್ ಆಗಿದೆ --- diff --git a/translations/kn/6-NLP/3-Translation-Sentiment/solution/R/README.md b/translations/kn/6-NLP/3-Translation-Sentiment/solution/R/README.md index 4cb199508..cc1282284 100644 --- a/translations/kn/6-NLP/3-Translation-Sentiment/solution/R/README.md +++ b/translations/kn/6-NLP/3-Translation-Sentiment/solution/R/README.md @@ -1,12 +1,3 @@ - ಇದು ತಾತ್ಕಾಲಿಕ ಪ್ಲೇಸ್‌ಹೋಲ್ಡರ್ ಆಗಿದೆ --- diff --git a/translations/kn/6-NLP/4-Hotel-Reviews-1/README.md b/translations/kn/6-NLP/4-Hotel-Reviews-1/README.md index 08b085c38..4175361ae 100644 --- a/translations/kn/6-NLP/4-Hotel-Reviews-1/README.md +++ b/translations/kn/6-NLP/4-Hotel-Reviews-1/README.md @@ -1,12 +1,3 @@ - # ಹೋಟೆಲ್ ವಿಮರ್ಶೆಗಳೊಂದಿಗೆ ಭಾವನೆ ವಿಶ್ಲೇಷಣೆ - ಡೇಟಾ ಪ್ರಕ್ರಿಯೆ ಈ ವಿಭಾಗದಲ್ಲಿ ನೀವು ಹಿಂದಿನ ಪಾಠಗಳಲ್ಲಿ ಕಲಿತ ತಂತ್ರಗಳನ್ನು ಬಳಸಿಕೊಂಡು ದೊಡ್ಡ ಡೇಟಾಸೆಟ್‌ನ ಅನ್ವೇಷಣಾತ್ಮಕ ಡೇಟಾ ವಿಶ್ಲೇಷಣೆಯನ್ನು ಮಾಡುತ್ತೀರಿ. ವಿವಿಧ ಕಾಲಮ್‌ಗಳ ಉಪಯುಕ್ತತೆಯನ್ನು ಚೆನ್ನಾಗಿ ಅರ್ಥಮಾಡಿಕೊಂಡ ನಂತರ, ನೀವು ತಿಳಿಯಲಿದ್ದೀರಿ: diff --git a/translations/kn/6-NLP/4-Hotel-Reviews-1/assignment.md b/translations/kn/6-NLP/4-Hotel-Reviews-1/assignment.md index 420c74536..771b0b56e 100644 --- a/translations/kn/6-NLP/4-Hotel-Reviews-1/assignment.md +++ b/translations/kn/6-NLP/4-Hotel-Reviews-1/assignment.md @@ -1,12 +1,3 @@ - # NLTK ## ಸೂಚನೆಗಳು diff --git a/translations/kn/6-NLP/4-Hotel-Reviews-1/solution/Julia/README.md b/translations/kn/6-NLP/4-Hotel-Reviews-1/solution/Julia/README.md index 1b344018b..eaa28335b 100644 --- a/translations/kn/6-NLP/4-Hotel-Reviews-1/solution/Julia/README.md +++ b/translations/kn/6-NLP/4-Hotel-Reviews-1/solution/Julia/README.md @@ -1,12 +1,3 @@ - ಇದು ತಾತ್ಕಾಲಿಕ ಪ್ಲೇಸ್‌ಹೋಲ್ಡರ್ ಆಗಿದೆ --- diff --git a/translations/kn/6-NLP/4-Hotel-Reviews-1/solution/R/README.md b/translations/kn/6-NLP/4-Hotel-Reviews-1/solution/R/README.md index 0b37e04b0..dc90185e6 100644 --- a/translations/kn/6-NLP/4-Hotel-Reviews-1/solution/R/README.md +++ b/translations/kn/6-NLP/4-Hotel-Reviews-1/solution/R/README.md @@ -1,12 +1,3 @@ - ಇದು ತಾತ್ಕಾಲಿಕ ಪ್ಲೇಸ್‌ಹೋಲ್ಡರ್ ಆಗಿದೆ --- diff --git a/translations/kn/6-NLP/5-Hotel-Reviews-2/README.md b/translations/kn/6-NLP/5-Hotel-Reviews-2/README.md index be335e791..aa5650b82 100644 --- a/translations/kn/6-NLP/5-Hotel-Reviews-2/README.md +++ b/translations/kn/6-NLP/5-Hotel-Reviews-2/README.md @@ -1,12 +1,3 @@ - # ಹೋಟೆಲ್ ವಿಮರ್ಶೆಗಳೊಂದಿಗೆ ಭಾವನೆ ವಿಶ್ಲೇಷಣೆ ನೀವು ಈಗಾಗಲೇ ಡೇಟಾಸೆಟ್ ಅನ್ನು ವಿವರವಾಗಿ ಅನ್ವೇಷಿಸಿದ್ದೀರಿ, ಈಗ ಕಾಲಮ್‌ಗಳನ್ನು ಫಿಲ್ಟರ್ ಮಾಡಿ ನಂತರ ಡೇಟಾಸೆಟ್‌ನಲ್ಲಿ NLP ತಂತ್ರಗಳನ್ನು ಬಳಸಿಕೊಂಡು ಹೋಟೆಲ್‌ಗಳ ಬಗ್ಗೆ ಹೊಸ洞察ಗಳನ್ನು ಪಡೆಯುವ ಸಮಯವಾಗಿದೆ. diff --git a/translations/kn/6-NLP/5-Hotel-Reviews-2/assignment.md b/translations/kn/6-NLP/5-Hotel-Reviews-2/assignment.md index 0c62a9715..1b309e028 100644 --- a/translations/kn/6-NLP/5-Hotel-Reviews-2/assignment.md +++ b/translations/kn/6-NLP/5-Hotel-Reviews-2/assignment.md @@ -1,12 +1,3 @@ - # ಬೇರೆ ಡೇಟಾಸೆಟ್ ಪ್ರಯತ್ನಿಸಿ ## ಸೂಚನೆಗಳು diff --git a/translations/kn/6-NLP/5-Hotel-Reviews-2/solution/Julia/README.md b/translations/kn/6-NLP/5-Hotel-Reviews-2/solution/Julia/README.md index ad48999e3..dc90185e6 100644 --- a/translations/kn/6-NLP/5-Hotel-Reviews-2/solution/Julia/README.md +++ b/translations/kn/6-NLP/5-Hotel-Reviews-2/solution/Julia/README.md @@ -1,12 +1,3 @@ - ಇದು ತಾತ್ಕಾಲಿಕ ಪ್ಲೇಸ್‌ಹೋಲ್ಡರ್ ಆಗಿದೆ --- diff --git a/translations/kn/6-NLP/5-Hotel-Reviews-2/solution/R/README.md b/translations/kn/6-NLP/5-Hotel-Reviews-2/solution/R/README.md index 9ee7bb327..2fdd1ac4b 100644 --- a/translations/kn/6-NLP/5-Hotel-Reviews-2/solution/R/README.md +++ b/translations/kn/6-NLP/5-Hotel-Reviews-2/solution/R/README.md @@ -1,12 +1,3 @@ - ಇದು ತಾತ್ಕಾಲಿಕ ಪ್ಲೇಸ್‌ಹೋಲ್ಡರ್ ಆಗಿದೆ --- diff --git a/translations/kn/6-NLP/README.md b/translations/kn/6-NLP/README.md index 0d5ce7091..387df44c6 100644 --- a/translations/kn/6-NLP/README.md +++ b/translations/kn/6-NLP/README.md @@ -1,12 +1,3 @@ - # ನೈಸರ್ಗಿಕ ಭಾಷಾ ಪ್ರಕ್ರಿಯೆ ಆರಂಭಿಸುವುದು ನೈಸರ್ಗಿಕ ಭಾಷಾ ಪ್ರಕ್ರಿಯೆ (NLP) ಎಂದರೆ ಮಾನವ ಭಾಷೆಯನ್ನು ಮಾತನಾಡುವ ಮತ್ತು ಬರೆಯುವ ರೀತಿಯಲ್ಲಿ ಅರ್ಥಮಾಡಿಕೊಳ್ಳುವ ಕಂಪ್ಯೂಟರ್ ಪ್ರೋಗ್ರಾಮಿನ ಸಾಮರ್ಥ್ಯ. ಇದನ್ನು ನೈಸರ್ಗಿಕ ಭಾಷೆ ಎಂದು ಕರೆಯಲಾಗುತ್ತದೆ. ಇದು ಕೃತಕ ಬುದ್ಧಿಮತ್ತೆಯ (AI) ಒಂದು ಘಟಕವಾಗಿದೆ. NLP 50 ವರ್ಷಗಳಿಗಿಂತ ಹೆಚ್ಚು ಕಾಲದಿಂದ ಅಸ್ತಿತ್ವದಲ್ಲಿದ್ದು, ಭಾಷಾಶಾಸ್ತ್ರ ಕ್ಷೇತ್ರದಲ್ಲಿ ಮೂಲಗಳನ್ನು ಹೊಂದಿದೆ. ಈ ಸಂಪೂರ್ಣ ಕ್ಷೇತ್ರವು ಯಂತ್ರಗಳಿಗೆ ಮಾನವ ಭಾಷೆಯನ್ನು ಅರ್ಥಮಾಡಿಕೊಳ್ಳಲು ಮತ್ತು ಪ್ರಕ್ರಿಯೆಗೊಳಿಸಲು ಸಹಾಯ ಮಾಡುವುದಕ್ಕೆ ನಿರ್ದೇಶಿತವಾಗಿದೆ. ಇದನ್ನು ನಂತರ ಸ್ಪೆಲ್ ಚೆಕ್ ಅಥವಾ ಯಂತ್ರ ಅನುವಾದದಂತಹ ಕಾರ್ಯಗಳನ್ನು ನಿರ್ವಹಿಸಲು ಬಳಸಬಹುದು. ಇದಕ್ಕೆ ವೈದ್ಯಕೀಯ ಸಂಶೋಧನೆ, ಹುಡುಕಾಟ ಎಂಜಿನ್‌ಗಳು ಮತ್ತು ವ್ಯವಹಾರ ಬುದ್ಧಿವಂತಿಕೆ ಸೇರಿದಂತೆ ಹಲವಾರು ಕ್ಷೇತ್ರಗಳಲ್ಲಿ ನೈಜ ಜಗತ್ತಿನ ಅನೇಕ ಅನ್ವಯಿಕೆಗಳಿವೆ. diff --git a/translations/kn/6-NLP/data/README.md b/translations/kn/6-NLP/data/README.md index 7934e7133..40bd4fe23 100644 --- a/translations/kn/6-NLP/data/README.md +++ b/translations/kn/6-NLP/data/README.md @@ -1,12 +1,3 @@ - ಈ ಫೋಲ್ಡರ್‌ಗೆ ಹೋಟೆಲ್ ವಿಮರ್ಶಾ ಡೇಟಾವನ್ನು ಡೌನ್‌ಲೋಡ್ ಮಾಡಿ. --- diff --git a/translations/kn/7-TimeSeries/1-Introduction/README.md b/translations/kn/7-TimeSeries/1-Introduction/README.md index 60ba6cf30..aefa51c40 100644 --- a/translations/kn/7-TimeSeries/1-Introduction/README.md +++ b/translations/kn/7-TimeSeries/1-Introduction/README.md @@ -1,12 +1,3 @@ - # ಕಾಲ ಸರಣಿಗಳ ಭವಿಷ್ಯವಾಣಿ ಪರಿಚಯ ![ಕಾಲ ಸರಣಿಗಳ ಸಾರಾಂಶವನ್ನು ಸ್ಕೆಚ್‌ನೋಟ್‌ನಲ್ಲಿ](../../../../translated_images/kn/ml-timeseries.fb98d25f1013fc0c.webp) diff --git a/translations/kn/7-TimeSeries/1-Introduction/assignment.md b/translations/kn/7-TimeSeries/1-Introduction/assignment.md index 6a2f6f38b..ef54d1707 100644 --- a/translations/kn/7-TimeSeries/1-Introduction/assignment.md +++ b/translations/kn/7-TimeSeries/1-Introduction/assignment.md @@ -1,12 +1,3 @@ - # ಇನ್ನಷ್ಟು ಕಾಲ ಸರಣಿಗಳನ್ನು ದೃಶ್ಯೀಕರಿಸಿ ## ಸೂಚನೆಗಳು diff --git a/translations/kn/7-TimeSeries/1-Introduction/solution/Julia/README.md b/translations/kn/7-TimeSeries/1-Introduction/solution/Julia/README.md index 88cb4a274..54927a540 100644 --- a/translations/kn/7-TimeSeries/1-Introduction/solution/Julia/README.md +++ b/translations/kn/7-TimeSeries/1-Introduction/solution/Julia/README.md @@ -1,12 +1,3 @@ - ಇದು ತಾತ್ಕಾಲಿಕ ಪ್ಲೇಸ್‌ಹೋಲ್ಡರ್ ಆಗಿದೆ --- diff --git a/translations/kn/7-TimeSeries/1-Introduction/solution/R/README.md b/translations/kn/7-TimeSeries/1-Introduction/solution/R/README.md index 8352a0509..ea2a01193 100644 --- a/translations/kn/7-TimeSeries/1-Introduction/solution/R/README.md +++ b/translations/kn/7-TimeSeries/1-Introduction/solution/R/README.md @@ -1,12 +1,3 @@ - ಇದು ತಾತ್ಕಾಲಿಕ ಪ್ಲೇಸ್‌ಹೋಲ್ಡರ್ ಆಗಿದೆ --- diff --git a/translations/kn/7-TimeSeries/2-ARIMA/README.md b/translations/kn/7-TimeSeries/2-ARIMA/README.md index 9fd707f5a..434d872ed 100644 --- a/translations/kn/7-TimeSeries/2-ARIMA/README.md +++ b/translations/kn/7-TimeSeries/2-ARIMA/README.md @@ -1,12 +1,3 @@ - # ARIMA ಬಳಸಿ ಕಾಲ ಸರಣಿಯ ಭವಿಷ್ಯವಾಣಿ ಹಿಂದಿನ ಪಾಠದಲ್ಲಿ, ನೀವು ಕಾಲ ಸರಣಿಯ ಭವಿಷ್ಯವಾಣಿ ಬಗ್ಗೆ ಸ್ವಲ್ಪ ತಿಳಿದುಕೊಂಡಿದ್ದೀರಿ ಮತ್ತು ಒಂದು ಡೇಟಾಸೆಟ್ ಅನ್ನು ಲೋಡ್ ಮಾಡಿದ್ದೀರಿ, ಅದು ಒಂದು ಕಾಲಾವಧಿಯಲ್ಲಿ ವಿದ್ಯುತ್ ಲೋಡ್‌ನ ಅಸ್ಥಿರತೆಯನ್ನು ತೋರಿಸುತ್ತದೆ. diff --git a/translations/kn/7-TimeSeries/2-ARIMA/assignment.md b/translations/kn/7-TimeSeries/2-ARIMA/assignment.md index 0630e763e..21b5899e3 100644 --- a/translations/kn/7-TimeSeries/2-ARIMA/assignment.md +++ b/translations/kn/7-TimeSeries/2-ARIMA/assignment.md @@ -1,12 +1,3 @@ - # ಹೊಸ ARIMA ಮಾದರಿ ## ಸೂಚನೆಗಳು diff --git a/translations/kn/7-TimeSeries/2-ARIMA/solution/Julia/README.md b/translations/kn/7-TimeSeries/2-ARIMA/solution/Julia/README.md index 218f2eb18..41cdf01cb 100644 --- a/translations/kn/7-TimeSeries/2-ARIMA/solution/Julia/README.md +++ b/translations/kn/7-TimeSeries/2-ARIMA/solution/Julia/README.md @@ -1,12 +1,3 @@ - ಇದು ತಾತ್ಕಾಲಿಕ ಪ್ಲೇಸ್‌ಹೋಲ್ಡರ್ ಆಗಿದೆ --- diff --git a/translations/kn/7-TimeSeries/2-ARIMA/solution/R/README.md b/translations/kn/7-TimeSeries/2-ARIMA/solution/R/README.md index 786ca8c6b..294212623 100644 --- a/translations/kn/7-TimeSeries/2-ARIMA/solution/R/README.md +++ b/translations/kn/7-TimeSeries/2-ARIMA/solution/R/README.md @@ -1,12 +1,3 @@ - ಇದು ತಾತ್ಕಾಲಿಕ ಪ್ಲೇಸ್‌ಹೋಲ್ಡರ್ ಆಗಿದೆ --- diff --git a/translations/kn/7-TimeSeries/3-SVR/README.md b/translations/kn/7-TimeSeries/3-SVR/README.md index a9d71080d..50da69704 100644 --- a/translations/kn/7-TimeSeries/3-SVR/README.md +++ b/translations/kn/7-TimeSeries/3-SVR/README.md @@ -1,12 +1,3 @@ - # ಸಮಯ ಸರಣಿ ಭವಿಷ್ಯವಾಣಿ ಸಹಾಯ ವಕ್ಟರ್ ರೆಗ್ರೆಸರ್‌ನೊಂದಿಗೆ ಹಿಂದಿನ ಪಾಠದಲ್ಲಿ, ನೀವು ಸಮಯ ಸರಣಿ ಭವಿಷ್ಯವಾಣಿಗಾಗಿ ARIMA ಮಾದರಿಯನ್ನು ಹೇಗೆ ಬಳಸುವುದು ಎಂದು ಕಲಿತಿರಿ. ಈಗ ನೀವು ನಿರಂತರ ಡೇಟಾವನ್ನು ಭವಿಷ್ಯವಾಣಿ ಮಾಡಲು ಬಳಸುವ ರೆಗ್ರೆಸರ್ ಮಾದರಿ ಆಗಿರುವ Support Vector Regressor ಮಾದರಿಯನ್ನು ನೋಡಲಿದ್ದೀರಿ. diff --git a/translations/kn/7-TimeSeries/3-SVR/assignment.md b/translations/kn/7-TimeSeries/3-SVR/assignment.md index e3764fa8b..d4b0202f3 100644 --- a/translations/kn/7-TimeSeries/3-SVR/assignment.md +++ b/translations/kn/7-TimeSeries/3-SVR/assignment.md @@ -1,12 +1,3 @@ - # ಹೊಸ SVR ಮಾದರಿ ## ಸೂಚನೆಗಳು [^1] diff --git a/translations/kn/7-TimeSeries/README.md b/translations/kn/7-TimeSeries/README.md index 0cded2738..c4ffbe64a 100644 --- a/translations/kn/7-TimeSeries/README.md +++ b/translations/kn/7-TimeSeries/README.md @@ -1,12 +1,3 @@ - # ಕಾಲ ಸರಣಿಯ ಭವಿಷ್ಯವಾಣಿ ಪರಿಚಯ ಕಾಲ ಸರಣಿಯ ಭವಿಷ್ಯವಾಣಿ ಎಂದರೆ ಏನು? ಇದು ಭೂತಕಾಲದ ಪ್ರವೃತ್ತಿಗಳನ್ನು ವಿಶ್ಲೇಷಿಸಿ ಭವಿಷ್ಯದ ಘಟನೆಗಳನ್ನು ಊಹಿಸುವುದಾಗಿದೆ. diff --git a/translations/kn/8-Reinforcement/1-QLearning/README.md b/translations/kn/8-Reinforcement/1-QLearning/README.md index 13f2e2cde..114bc905f 100644 --- a/translations/kn/8-Reinforcement/1-QLearning/README.md +++ b/translations/kn/8-Reinforcement/1-QLearning/README.md @@ -1,12 +1,3 @@ - # ಬಲವರ್ಧಿತ ಅಧ್ಯಯನ ಮತ್ತು ಕ್ಯೂ-ಅಧ್ಯಯನಕ್ಕೆ ಪರಿಚಯ ![ಯಂತ್ರ ಅಧ್ಯಯನದಲ್ಲಿ ಬಲವರ್ಧನೆಯ ಸಾರಾಂಶವನ್ನು ಸ್ಕೆಚ್‌ನೋಟ್‌ನಲ್ಲಿ](../../../../translated_images/kn/ml-reinforcement.94024374d63348db.webp) diff --git a/translations/kn/8-Reinforcement/1-QLearning/assignment.md b/translations/kn/8-Reinforcement/1-QLearning/assignment.md index b78fc8619..dbfa370a3 100644 --- a/translations/kn/8-Reinforcement/1-QLearning/assignment.md +++ b/translations/kn/8-Reinforcement/1-QLearning/assignment.md @@ -1,12 +1,3 @@ - # ಹೆಚ್ಚು ವಾಸ್ತವಿಕ ಜಗತ್ತು ನಮ್ಮ ಪರಿಸ್ಥಿತಿಯಲ್ಲಿ, ಪೀಟರ್ ಬಹಳಷ್ಟು ದಣಿವಾಗದೆ ಅಥವಾ ಹಸಿವಾಗದೆ ಸುತ್ತಾಡಲು ಸಾಧ್ಯವಾಯಿತು. ಹೆಚ್ಚು ವಾಸ್ತವಿಕ ಜಗತ್ತಿನಲ್ಲಿ, ನಾವು ಸಮಯಕಾಲಕ್ಕೆ ಕುಳಿತು ವಿಶ್ರಾಂತಿ ಪಡೆಯಬೇಕಾಗುತ್ತದೆ, ಮತ್ತು ತಾನೇ ಆಹಾರ ಸೇವಿಸಬೇಕಾಗುತ್ತದೆ. ಕೆಳಗಿನ ನಿಯಮಗಳನ್ನು ಅನುಷ್ಠಾನಗೊಳಿಸುವ ಮೂಲಕ ನಮ್ಮ ಜಗತ್ತನ್ನು ಹೆಚ್ಚು ವಾಸ್ತವಿಕವಾಗಿಸೋಣ: diff --git a/translations/kn/8-Reinforcement/1-QLearning/solution/Julia/README.md b/translations/kn/8-Reinforcement/1-QLearning/solution/Julia/README.md index 0730e5aaa..8b0f38647 100644 --- a/translations/kn/8-Reinforcement/1-QLearning/solution/Julia/README.md +++ b/translations/kn/8-Reinforcement/1-QLearning/solution/Julia/README.md @@ -1,12 +1,3 @@ - ಇದು ತಾತ್ಕಾಲಿಕ ಪ್ಲೇಸ್‌ಹೋಲ್ಡರ್ ಆಗಿದೆ --- diff --git a/translations/kn/8-Reinforcement/1-QLearning/solution/R/README.md b/translations/kn/8-Reinforcement/1-QLearning/solution/R/README.md index ed7da4d3e..50ff18837 100644 --- a/translations/kn/8-Reinforcement/1-QLearning/solution/R/README.md +++ b/translations/kn/8-Reinforcement/1-QLearning/solution/R/README.md @@ -1,12 +1,3 @@ - ಇದು ತಾತ್ಕಾಲಿಕ ಪ್ಲೇಸ್‌ಹೋಲ್ಡರ್ ಆಗಿದೆ --- diff --git a/translations/kn/8-Reinforcement/2-Gym/README.md b/translations/kn/8-Reinforcement/2-Gym/README.md index 6b6004370..05dd41729 100644 --- a/translations/kn/8-Reinforcement/2-Gym/README.md +++ b/translations/kn/8-Reinforcement/2-Gym/README.md @@ -1,12 +1,3 @@ - # ಕಾರ್ಟ್‌ಪೋಲ್ ಸ್ಕೇಟಿಂಗ್ ಹಿಂದಿನ ಪಾಠದಲ್ಲಿ ನಾವು ಪರಿಹರಿಸುತ್ತಿದ್ದ ಸಮಸ್ಯೆ ಆಟದ ಸಮಸ್ಯೆಯಂತೆ ಕಾಣಬಹುದು, ನಿಜವಾದ ಜೀವನದ ಸಂದರ್ಭಗಳಿಗೆ ಅನ್ವಯಿಸುವುದಿಲ್ಲ ಎಂದು ಭಾಸವಾಗಬಹುದು. ಆದರೆ ಇದು ಸತ್ಯವಲ್ಲ, ಏಕೆಂದರೆ ಅನೇಕ ನಿಜವಾದ ಜಗತ್ತಿನ ಸಮಸ್ಯೆಗಳು ಕೂಡ ಈ ದೃಶ್ಯವನ್ನು ಹಂಚಿಕೊಳ್ಳುತ್ತವೆ - ಚೆಸ್ ಅಥವಾ ಗೋ ಆಟವನ್ನೂ ಸೇರಿಸಿ. ಅವುಗಳು ಸಮಾನವಾಗಿವೆ, ಏಕೆಂದರೆ ನಮಗೂ ನಿಯಮಗಳೊಂದಿಗೆ ಒಂದು ಬೋರ್ಡ್ ಇದೆ ಮತ್ತು **ವಿಭಜಿತ ಸ್ಥಿತಿ** ಇದೆ. diff --git a/translations/kn/8-Reinforcement/2-Gym/assignment.md b/translations/kn/8-Reinforcement/2-Gym/assignment.md index 10b25a5ba..4b843a410 100644 --- a/translations/kn/8-Reinforcement/2-Gym/assignment.md +++ b/translations/kn/8-Reinforcement/2-Gym/assignment.md @@ -1,12 +1,3 @@ - # ಪರ್ವತ ಕಾರ್ ತರಬೇತಿ [OpenAI Gym](http://gym.openai.com) ಅನ್ನು ಎಲ್ಲಾ ಪರಿಸರಗಳು ಒಂದೇ API ಒದಗಿಸುವಂತೆ ವಿನ್ಯಾಸಗೊಳಿಸಲಾಗಿದೆ - ಅಂದರೆ ಒಂದೇ ವಿಧಾನಗಳು `reset`, `step` ಮತ್ತು `render`, ಮತ್ತು **ಕ್ರಿಯೆ ಸ್ಥಳ** ಮತ್ತು **ನಿರೀಕ್ಷಣಾ ಸ್ಥಳ** ಎಂಬ ಒಂದೇ ಅವಧಾರಣೆಗಳು. ಆದ್ದರಿಂದ, ಕಡಿಮೆ ಕೋಡ್ ಬದಲಾವಣೆಗಳೊಂದಿಗೆ ವಿಭಿನ್ನ ಪರಿಸರಗಳಿಗೆ ಒಂದೇ ಬಲವರ್ಧಿತ ಕಲಿಕೆ ಆಲ್ಗಾರಿದಮ್ಗಳನ್ನು ಹೊಂದಿಸಲು ಸಾಧ್ಯವಾಗಬೇಕು. diff --git a/translations/kn/8-Reinforcement/2-Gym/solution/Julia/README.md b/translations/kn/8-Reinforcement/2-Gym/solution/Julia/README.md index 0f03fd809..41cdf01cb 100644 --- a/translations/kn/8-Reinforcement/2-Gym/solution/Julia/README.md +++ b/translations/kn/8-Reinforcement/2-Gym/solution/Julia/README.md @@ -1,12 +1,3 @@ - ಇದು ತಾತ್ಕಾಲಿಕ ಪ್ಲೇಸ್‌ಹೋಲ್ಡರ್ ಆಗಿದೆ --- diff --git a/translations/kn/8-Reinforcement/2-Gym/solution/R/README.md b/translations/kn/8-Reinforcement/2-Gym/solution/R/README.md index fec8a42e1..e82e62df6 100644 --- a/translations/kn/8-Reinforcement/2-Gym/solution/R/README.md +++ b/translations/kn/8-Reinforcement/2-Gym/solution/R/README.md @@ -1,12 +1,3 @@ - ಇದು ತಾತ್ಕಾಲಿಕ ಪ್ಲೇಸ್‌ಹೋಲ್ಡರ್ ಆಗಿದೆ --- diff --git a/translations/kn/8-Reinforcement/README.md b/translations/kn/8-Reinforcement/README.md index 90074df8c..342b29260 100644 --- a/translations/kn/8-Reinforcement/README.md +++ b/translations/kn/8-Reinforcement/README.md @@ -1,12 +1,3 @@ - # ಬಲವರ್ಧಿತ ಅಧ್ಯಯನಕ್ಕೆ ಪರಿಚಯ ಬಲವರ್ಧಿತ ಅಧ್ಯಯನ, RL, ಮೇಲ್ವಿಚಾರಿತ ಅಧ್ಯಯನ ಮತ್ತು ಮೇಲ್ವಿಚಾರಣೆಯಿಲ್ಲದ ಅಧ್ಯಯನದ ಪಕ್ಕದಲ್ಲಿ ಮೂಲ ಯಂತ್ರ ಅಧ್ಯಯನ ಪರಿಕಲ್ಪನೆಗಳಲ್ಲಿ ಒಂದಾಗಿ ಪರಿಗಣಿಸಲಾಗಿದೆ. RL ಎಲ್ಲವೂ ನಿರ್ಧಾರಗಳ ಬಗ್ಗೆ: ಸರಿಯಾದ ನಿರ್ಧಾರಗಳನ್ನು ನೀಡುವುದು ಅಥವಾ ಕನಿಷ್ಠ ಅವುಗಳಿಂದ ಕಲಿಯುವುದು. diff --git a/translations/kn/9-Real-World/1-Applications/README.md b/translations/kn/9-Real-World/1-Applications/README.md index 41c400e2c..700dff5aa 100644 --- a/translations/kn/9-Real-World/1-Applications/README.md +++ b/translations/kn/9-Real-World/1-Applications/README.md @@ -1,12 +1,3 @@ - # ಪೋಸ್ಟ್‌ಸ್ಕ್ರಿಪ್ಟ್: ನೈಜ ಜಗತ್ತಿನಲ್ಲಿ ಯಂತ್ರ ಅಧ್ಯಯನ ![ನೈಜ ಜಗತ್ತಿನಲ್ಲಿ ಯಂತ್ರ ಅಧ್ಯಯನದ ಸಾರಾಂಶವನ್ನು ಸ್ಕೆಚ್‌ನೋಟ್‌ನಲ್ಲಿ](../../../../translated_images/kn/ml-realworld.26ee274671615577.webp) diff --git a/translations/kn/9-Real-World/1-Applications/assignment.md b/translations/kn/9-Real-World/1-Applications/assignment.md index da9d164e8..905535b5f 100644 --- a/translations/kn/9-Real-World/1-Applications/assignment.md +++ b/translations/kn/9-Real-World/1-Applications/assignment.md @@ -1,12 +1,3 @@ - # ಎಂಎಲ್ ಸ್ಕ್ಯಾವೆಂಜರ್ ಹಂಟ್ ## ಸೂಚನೆಗಳು diff --git a/translations/kn/9-Real-World/2-Debugging-ML-Models/README.md b/translations/kn/9-Real-World/2-Debugging-ML-Models/README.md index 8f544ec77..51b40e1bb 100644 --- a/translations/kn/9-Real-World/2-Debugging-ML-Models/README.md +++ b/translations/kn/9-Real-World/2-Debugging-ML-Models/README.md @@ -1,12 +1,3 @@ - # ಪೋಸ್ಟ್‌ಸ್ಕ್ರಿಪ್ಟ್: ಜವಾಬ್ದಾರಿಯುತ AI ಡ್ಯಾಶ್‌ಬೋರ್ಡ್ ಘಟಕಗಳನ್ನು ಬಳಸಿ ಯಂತ್ರ ಅಧ್ಯಯನದಲ್ಲಿ ಮಾದರಿ ಡಿಬಗಿಂಗ್ ## [ಪೂರ್ವ-ಪಾಠ ಕ್ವಿಜ್](https://ff-quizzes.netlify.app/en/ml/) diff --git a/translations/kn/9-Real-World/2-Debugging-ML-Models/assignment.md b/translations/kn/9-Real-World/2-Debugging-ML-Models/assignment.md index b00112775..ecc50e794 100644 --- a/translations/kn/9-Real-World/2-Debugging-ML-Models/assignment.md +++ b/translations/kn/9-Real-World/2-Debugging-ML-Models/assignment.md @@ -1,12 +1,3 @@ - # ಜವಾಬ್ದಾರಿಯುತ AI (RAI) ಡ್ಯಾಶ್‌ಬೋರ್ಡ್ ಅನ್ವೇಷಣೆ ## ಸೂಚನೆಗಳು diff --git a/translations/kn/9-Real-World/README.md b/translations/kn/9-Real-World/README.md index 608c3ec49..e49582bde 100644 --- a/translations/kn/9-Real-World/README.md +++ b/translations/kn/9-Real-World/README.md @@ -1,12 +1,3 @@ - # ಪೋಸ್ಟ್‌ಸ್ಕ್ರಿಪ್ಟ್: ಕ್ಲಾಸಿಕ್ ಮೆಷಿನ್ ಲರ್ನಿಂಗ್‌ನ ನೈಜ ಜಗತ್ತಿನ ಅನ್ವಯಿಕೆಗಳು ಪಠ್ಯಕ್ರಮದ ಈ ವಿಭಾಗದಲ್ಲಿ, ನೀವು ಶ್ರೇಷ್ಟ ML ನ ಕೆಲವು ನೈಜ ಜಗತ್ತಿನ ಅನ್ವಯಿಕೆಗಳನ್ನು ಪರಿಚಯಿಸಿಕೊಳ್ಳುತ್ತೀರಿ. ನಾವು ಇಂಟರ್ನೆಟ್ ಅನ್ನು ಹುಡುಕಿ ಈ ತಂತ್ರಗಳನ್ನು ಬಳಸಿದ ಅನ್ವಯಿಕೆಗಳ ಬಗ್ಗೆ ಶ್ವೇತಪತ್ರಗಳು ಮತ್ತು ಲೇಖನಗಳನ್ನು ಕಂಡುಹಿಡಿದಿದ್ದೇವೆ, ನ್ಯೂರಲ್ ನೆಟ್‌ವರ್ಕ್‌ಗಳು, ಡೀಪ್ ಲರ್ನಿಂಗ್ ಮತ್ತು AI ಅನ್ನು ಸಾಧ್ಯವಾದಷ್ಟು ತಪ್ಪಿಸಿ. ವ್ಯವಹಾರ ವ್ಯವಸ್ಥೆಗಳು, ಪರಿಸರ ಅನ್ವಯಿಕೆಗಳು, ಹಣಕಾಸು, ಕಲೆ ಮತ್ತು ಸಂಸ್ಕೃತಿ ಮತ್ತು ಇನ್ನಷ್ಟು ಕ್ಷೇತ್ರಗಳಲ್ಲಿ ML ಹೇಗೆ ಬಳಸಲಾಗುತ್ತದೆ ಎಂಬುದನ್ನು ತಿಳಿಯಿರಿ. diff --git a/translations/kn/AGENTS.md b/translations/kn/AGENTS.md index 29da05998..5cdc4cd6c 100644 --- a/translations/kn/AGENTS.md +++ b/translations/kn/AGENTS.md @@ -1,12 +1,3 @@ - # AGENTS.md ## Project Overview diff --git a/translations/kn/CODE_OF_CONDUCT.md b/translations/kn/CODE_OF_CONDUCT.md index ce0cbc92c..a8094ef71 100644 --- a/translations/kn/CODE_OF_CONDUCT.md +++ b/translations/kn/CODE_OF_CONDUCT.md @@ -1,12 +1,3 @@ - # ಮೈಕ್ರೋಸಾಫ್ಟ್ ಓಪನ್ ಸೋರ್ಸ್ ನಡವಳಿಕೆ ಸಂಹಿತೆ ಈ ಯೋಜನೆ [ಮೈಕ್ರೋಸಾಫ್ಟ್ ಓಪನ್ ಸೋರ್ಸ್ ನಡವಳಿಕೆ ಸಂಹಿತೆ](https://opensource.microsoft.com/codeofconduct/) ಅನ್ನು ಅಂಗೀಕರಿಸಿದೆ. diff --git a/translations/kn/CONTRIBUTING.md b/translations/kn/CONTRIBUTING.md index a4780dbe2..7574beaf3 100644 --- a/translations/kn/CONTRIBUTING.md +++ b/translations/kn/CONTRIBUTING.md @@ -1,12 +1,3 @@ - # ಕೊಡುಗೆ ನೀಡುವುದು ಈ ಯೋಜನೆ ಕೊಡುಗೆಗಳು ಮತ್ತು ಸಲಹೆಗಳನ್ನು ಸ್ವಾಗತಿಸುತ್ತದೆ. ಬಹುತೇಕ ಕೊಡುಗೆಗಳಿಗೆ ನೀವು ಒಪ್ಪಿಕೊಳ್ಳಬೇಕಾಗುತ್ತದೆ diff --git a/translations/kn/README.md b/translations/kn/README.md index 66af4259a..fb7f008fc 100644 --- a/translations/kn/README.md +++ b/translations/kn/README.md @@ -1,168 +1,152 @@ - -[![GitHub license](https://img.shields.io/github/license/microsoft/ML-For-Beginners.svg)](https://github.com/microsoft/ML-For-Beginners/blob/master/LICENSE) -[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/ML-For-Beginners.svg)](https://GitHub.com/microsoft/ML-For-Beginners/graphs/contributors/) -[![GitHub issues](https://img.shields.io/github/issues/microsoft/ML-For-Beginners.svg)](https://GitHub.com/microsoft/ML-For-Beginners/issues/) -[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/ML-For-Beginners.svg)](https://GitHub.com/microsoft/ML-For-Beginners/pulls/) -[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) - -[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/ML-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/ML-For-Beginners/watchers/) -[![GitHub forks](https://img.shields.io/github/forks/microsoft/ML-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/ML-For-Beginners/network/) -[![GitHub stars](https://img.shields.io/github/stars/microsoft/ML-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/ML-For-Beginners/stargazers/) - -### 🌐 ಬಹು ಭಾಷಾ ಬೆಂಬಲ - -#### GitHub ಕ್ರಿಯೆಯಿಂದ ಬೆಂಬಲಿಸಲಾಗಿದೆ (ಸ್ವಯಂಚಾಲಿತ ಮತ್ತು ಸದಾ ನವೀಕರಿಸಲಾಗುತ್ತದೆ) - - -[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](./README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md) - -> **ಸ್ಥಳೀಯವಾಗಿ ಕ್ಲೋನ್ ಮಾಡುವುದು ಇಷ್ಟವೇ?** - -> ಈ ರೆಪೋದಲ್ಲಿ 50+ ಭಾಷಾ ಅನುವಾದಗಳು ಸೇರಿವೆ, ಅವು ಡೌನ್‌ಲೋಡ್ ಗಾತ್ರವನ್ನು ಗಮನಾರ್ಹವಾಗಿ ಹೆಚ್ಚಿಸುತ್ತವೆ. ಅನುವಾದಗಳನ್ನು ಇಲ್ಲದೆ ಕ್ಲೋನ್ ಮಾಡಲು, ಸ್ಪಾರ್ಸ್ ಔಟ್‌ಚೆಕ್ ಅನ್ನು ಬಳಸಿ: +### 🌐 ಬಹುಭಾಷಾ ಬೆಂಬಲ + +#### GitHub ಕ್ರಿಯೆಯಿಂದ ಬೆಂಬಲಿತ (ಸ್ವಯಂಚಾಲಿತ ಮತ್ತು ಎದ್ದು ನಿಲ್ಲುತ್ತದೆ) + +> **ಸ್ಥಳೀಯವಾಗಿ ಕ್ಲೋನ್ ಮಾಡಲು ಇಚ್ಛಿಸುತ್ತೀರಾ?** + +> ಈ ಸಂಗ್ರಹವು 50+ ಭಾಷಾ ಅನುವಾದಗಳನ್ನು ಒಳಗೊಂಡಿದೆ, ಇದು ಡೌನ್ಲೋಡ್ ಗಾತ್ರವನ್ನು ಬಹುಮಾನಿಸಲಾಗಿದೆ. ಅನುವಾದಗಳಿಲ್ಲದೆ ಕ್ಲೋನ್ ಮಾಡಲು, ಸ್ಪಾರ್ಸ್ ಔಟ್‌ಚೆಕ್ ಬಳಸಿ: > ```bash > git clone --filter=blob:none --sparse https://github.com/microsoft/ML-For-Beginners.git > cd ML-For-Beginners > git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' > ``` -> ಇದರಿಂದ ನಿಮಗೆ ಕೋರ್ಸ್ ಅನ್ನು ತುಂಬಾ ವೇಗವಾಗಿ ಡೌನ್‌ಲೋಡ್ ಮಾಡಿಕೊಳ್ಳಲು ಅಗತ್ಯವಿರುವ ಎಲ್ಲವೂ ಲಭ್ಯವಾಗುತ್ತದೆ. - - -#### ನಮ್ಮ ಸಮುದಾಯದಲ್ಲಿ ಸೇರಿ - -[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +> ಇದರಿಂದ ನೀವು ಧಾರೆಗತ ವೇಗವಾದ ಡೌನ್ಲೋಡ್‌ನೊಂದಿಗೆ ಕೋರ್ಸನ್ನು ಪೂರ್ಣಗೊಳಿಸಲು ಬೇಕಾದ ಎಲ್ಲವನ್ನೂ ಪಡೆಯುತ್ತೀರಿ. -ನಾವು ಡಿಸ್ಕಾರ್ಡ್‌ನಲ್ಲಿ AI ಸರಣಿಯನ್ನು ನಡೆದಿಡುತ್ತಿರುವೆವು, ಇನ್ನಷ್ಟು ತಿಳಿಯಲು ಮತ್ತು 18 - 30 ಸೆಪ್ಟೆಂಬರ್, 2025 ರಲ್ಲಿ ನಮ್ಮೊಂದಿಗೆ ಸೇರಲು [Learn with AI Series](https://aka.ms/learnwithai/discord) ಗೆ ಭೇಟಿ ನೀಡಿ. ಗಿಟ್‌ಹಬ್ ಕೊಪಿಲಾಟ್ ಬಳಸಿ ಡೇಟಾ ಸೈನ್ಸ್‌ಗೆ ಸಲಹೆಗಳು ಮತ್ತು ಟ್ರಿಕ್ಸ್ ಪಡೆಯಲಿದ್ದೀರಿ. +#### ನಮ್ಮ ಸಮುದಾಯದಲ್ಲಿ ಸೇರ್ಪಡೆ ಹೊಂದಿ -![Learn with AI series](../../../../translated_images/kn/3.9b58fd8d6c373c20.webp) +ನಾವು ಡಿಸ್ಕೋರ್ಡ್ ನಲ್ಲಿ AI ಸರಣಿಯನ್ನು ಕಲಿಯುತ್ತಿದ್ದೇವೆ, ಮತ್ತಷ್ಟು ತಿಳಿದುಕೊಳ್ಳಲು ಮತ್ತು ಸೇರ್ಪಡೆಗಾಗಿ [Learn with AI Series](https://aka.ms/learnwithai/discord) ಭೇಟಿ ನೀಡಿ, 18 - 30 ಸೆಪ್ಟೆಂಬರ್, 2025. ನೀವು GitHub Copilot ಅನ್ನು ಡೇಟಾ ಸೈನ್ಸಿಗಾಗಿ ಬಳಸುವ ಸಲಹೆ ಮತ್ತು ತಂತ್ರಗಳನ್ನು ಪಡೆಯುತ್ತೀರಿ. -# ಆರಂಭಿಕರಿಗಾಗಿ ಮೆಷಿನ್ ಲರ್ನಿಂಗ್ - ಒಂದು ಪಠ್ಯಕ್ರಮ +# ಮಷಿನ್ ಲರ್ನಿಂಗ್ ಫಾರ್ ಸ್ಟಾರ್ಟರ್ಸ್ - ಓದುಕ್ರಮ -> 🌍 ವಿಶ್ವದ ಸಂಸ್ಕೃತಿಗಳನ್ನು ಸಂಧರಿಸಿ ಮೆಷಿನ್ ಲರ್ನಿಂಗ್ ಅನ್ನು ಅನ್ವೇಷಿಸುತ್ತಾ ಜಗತ್ತಿನ ಸುತ್ತಹಾರಣ 🌍 +> 🌍 ನಾವು ಮಷಿನ್ ಲರ್ನಿಂಗ್ ಅನ್ನು ಜಗತ್ತಿನ ಸಂಸ್ಕೃತಿಗಳ ಮೂಲಕ ಅನ್ವೇಷಿಸುತ್ತಿರುವಾಗ ವಿಶ್ವಾದ್ಯಂತ ಪ್ರವಾಸ ಮಾಡಿ 🌍 -Microsoft ನ ಕ್ಲೌಡ್ ಅಡ್ವೊಕೇಟ್‌ಗಳು 12 ವಾರಗಳ, 26 ಪಾಠಗಳ ಪಠ್ಯಕ್ರಮವನ್ನು ಒದಗಿಸಲು ಸಂತೋಷ ಪಡುತ್ತಿದ್ದರು, ಇದು **ಮೆಷಿನ್ ಲರ್ನಿಂಗ್** ಕುರಿತು ಎಲ್ಲವನ್ನೂ ಒಳಗೊಂಡಿದೆ. ಈ ಪಠ್ಯಕ್ರಮದಲ್ಲಿ, ಕೆಲವು ವೇಳೆ **ಕ್ಲಾಸಿಕ್ ಮೆಷಿನ್ ಲರ್ನಿಂಗ್** ಎಂದು ಕರೆಯಲ್ಪಡುವುದನ್ನು ನೀವು ಕಲಿಯುತ್ತೀರಿ, ಇದರಲ್ಲಿ ಮುಖ್ಯವಾಗಿ ಸ್ಕೈಕಿಟ್-ಲರ್ನ್ ಲೈಬ್ರರಿ ಬಳಸಲ್ಪಟ್ಟಿದೆ ಮತ್ತು ನಾವು ಡೀಪ್ ಲರ್ನಿಂಗ್ ಅನ್ನು ದೂರವಿಡುತ್ತೇವೆ, ಅದು ನಮ್ಮ [AI for Beginners' curriculum](https://aka.ms/ai4beginners) ನಲ್ಲಿ ಒಳಗೊಂಡಿದೆ. ಈ ಪಾಠಗಳನ್ನು ['Data Science for Beginners' curriculum](https://aka.ms/ds4beginners) ಜೊತೆಗೆ ಬಳಸಬಹುದು! +ಮೈಕ್ರೋಸಾಫ್ಟ್‌ನ ಕ್ಲೌಡ್ ಅಡ್ವೊಕೇಟ್ಸ್ ನಿಮಗೆ 12 ವಾರಗಳ, 26 ಪಾಠಗಳжди ಮಷಿನ್ ಲರ್ನಿಂಗ್ ಕುರಿತ ಒಟ್ಟು ಓದುಕ್ರಮವನ್ನು ನೀಡಲು ಸಂತೋಷಪಡುತ್ತಾರೆ. ಈ ಓದುಕ್ರಮದಲ್ಲಿ ನೀವು ಕೆಲವೊಮ್ಮೆ "ಕ್ಲಾಸಿಕ್ ಮಷಿನ್ ಲರ್ನಿಂಗ್" ಎನ್ನುತ್ತಿರುವುದನ್ನು ಕಲಿಯೋದು, ಮುಖ್ಯವಾಗಿ ಸ್ಕಿಕಿಟ್-ಲರ್ನ್ ಗ್ರಂಥಾಲಯವನ್ನು ಬಳಸುವುದರೊಂದಿಗೆ ಡೀಪ್ ಲರ್ನಿಂಗ್ ಅನ್ನು ತಪ್ಪಿಸುವದು, ಇದು ನಮ್ಮ [AI for Beginners' ಓದುಕ್ರಮ](https://aka.ms/ai4beginners) ನಲ್ಲಿ ಒಳಗೊಂಡಿದೆ. ಈ ಪಾಠಗಳನ್ನು ನಮ್ಮ ['ಡೇಟಾ ಸೈನ್ಸ್ ಫಾರ್ ಸ್ಟಾರ್ಟರ್ಸ್' ಓದುಕ್ರಮ](https://aka.ms/ds4beginners) ಜೊತೆಗೆ ಕೂಡಾ ಜೋಡಿಸಬಹುದು. -ಮಹಾಕಾಶದಲ್ಲಿರುವ ಯಾವುದೇ ಡೇಟಾವನ್ನು ಹಲವಾರು ಭಾಗಗಳಿಂದ ನಾವು ಅನ್ವಯಿಸುವ ಕಾರಣದಿಂದಾಗಿ ನೀವು ನಮ್ಮೊಂದಿಗೆ ಜಗತ್ತಿನ ಸುತ್ತ ಪ್ರಯಾಣ ಮಾಡುತ್ತೀರಿ. ಪ್ರತಿ ಪಾಠವು ಪೂರ್ವ ಮತ್ತು ನಂತರದ ಕ್ವಿಜ್‌ಗಳು, ಬರಹದ ಮೆಳಕುಗಳು, ಪಾಠವನ್ನು ಮುಗಿಸಲು ಪರಿಹಾರ, ನಿಯೋಜನೆ, ಮತ್ತು ಇನ್ನೂ ಹೆಚ್ಚು ಹೊಂದಿದೆ. ನಮ್ಮ ಯೋಜನೆಾಧಾರಿತ ಶಿಕ್ಷಣಶೀಲ ಧೋರಣೆಯ ಮೂಲಕ ನೀವು ಕಲಿಯುತ್ತಾ ನಿರ್ಮಿಸುತ್ತೀರಿ, ಇದು ಹೊಸ ಕೌಶಲಗಳನ್ನು 'ನಂಚಿಕೊಳ್ಳುವ' ಪ್ರಮಾಣಿತ ವಿಧಾನ. +ನಮ್ಮ ಜೊತೆ ಜಗತ್ತಿನ ವಿಭಿನ್ನ ಭಾಗಗಳಿಂದ ಡೇಟಾ ಮೇಲೆ ಈ ಕ್ಲಾಸಿಕ್ ತಂತ್ರಗಳನ್ನು ಅನ್ವಯಿಸಿಕೊಂಡು ಪ್ರವಾಸ ಮಾಡಿ. ಪ್ರತಿ ಪಾಠವು ಪೂರ್ವ ಮತ್ತು ನಂತರದ ಪರೀಕ್ಷೆಗಳು, ಪಾಠ ಪೂರ್ಣಗೊಳಿಸುವ ಬರಹ ಸೂಚನೆಗಳು, ಪರಿಹಾರ, ನಿಯೋಗ, ಮತ್ತಿತರ ವಿಷಯಗಳನ್ನು ಒಳಗೊಂಡಿದೆ. ನಮ್ಮ ಯೋಜನೆ ಆಧಾರಿತ ಅಧ್ಯಯನ ವಿಧಾನವು ನಿಮ್ಮನ್ನು ನಿರ್ಮಾಣ ಮಾಡುವಾಗ ಕಲಿಯುತ್ತೀರಿ ಎಂಬುದನ್ನು ಖಚಿತಪಡಿಸುತ್ತದೆ, ಹೊಸ ಕೌಶಲಗಳನ್ನು ಹಿಡಿದಿಡಲು ಬಳಸುವ ಪರಿಣಾಮಕಾರಿ ವಿಧಾನ. -**✍️ ನಮ್ಮ రచನೆಗಾರರಿಗೆ ಹೃದಯಪೂರ್ವಕ ಧನ್ಯವಾದಗಳು** ಜೆನ್ ಲೂಪರ್, ಸ್ಟೀಫನ್ ಹೌಲ್, ಫ್ರಾನ್ಸೆಸ್ಕಾ ಲಾಜೆರೀ, ಟೊಮೊಮಿ ಇಮುರು, ಕ್ಯಾಸಿ ಬ್ರೇವಿಯು, ಡ್ಮಿಟ್ರಿ ಸೋಷ್ನಿಕೊವ್, ಕ್ರಿಸ್ ನೋರಿಂಗ್, ಅನಿರ್ಬಾನ್ ಮುಖರ್ಜೀ, ಓರ್ನೆಲ್ಲಾ ಅಲ್ಟುನಿಯನ್, ರೂತ್ ಯಾಕುಬು ಮತ್ತು ಆಮಿ ಬಾಯ್ಡ್ +**✍️ ನಮ್ಮ ಬರಹಗಾರರಿಗೆ ಹೃತ್ಪೂರ್ವಕ ಧನ್ಯವಾದಗಳು** ಜೆನ್ ಲೂಪರ್, ಸ್ಟೀಫನ್ ಹೌವೆಲ್, ಫ್ರೆನ್ಸೆಸ್ಕಾ ಲಾಜೆರ್ರಿ, ಟೊಮೊಮಿ ಇಮುರಾ, ಕ್ಯಾಸಿ ಬ್ರೇವಿಯು, ದಿಮಿತ್ರೀ ಸೋಶ್ನಿಕೋವ್, ಕ್ರಿಸ್ ನೋರಿಂಗ್, ಅನಿರ്ബನ್ ಮುಖರ್ಜಿ, ಓರ್ನೆಲ್ಲಾ ಅಲ್ಟುನಿಯನ್, ರೂತ್ ಯಕುಬು ಮತ್ತು ಏಮಿ ಬಾಯ್ಡ್ -**🎨 ನಮ್ಮ ಚಿತ್ರಕಾರರಿಗೂ ಧನ್ಯವಾದಗಳು** ಟೊಮೊಮಿ ಇಮುರು, ದಾಸನಿ ಮಾದಿಪಳ್ಳಿ ಮತ್ತು ಜೆನ್ ಲೂಪರ್ +**🎨 ನಮ್ಮ ಚಿತ್ರಕಾರರಿಗೆ ಸಹ ಧನ್ಯವಾದಗಳು** ಟೊಮೊಮಿ ಇಮುರಾ, ದಸಾನಿ ಮಡಿಪಳ್ಳಿ, ಮತ್ತು ಜೆನ್ ಲೂಪರ್ -**🙏 ನಮ್ಮ Microsoft ವಿದ್ಯಾರ್ಥಿ ಮೊಳಗೋಳಿಕ ರಚನೆಗಾರರು, ವಿಮರ್ಶಕರು ಮತ್ತು ವಿಷಯದ ಸಹಯೋಗಿಗಳಿಗೆ ವಿಶೇಷ ಧನ್ಯವಾದಗಳು**, ವಿಶೇಷವಾಗಿ ರಿಷಿತ್ ಡಾಗ್ಲಿ, ಮುಹಮ್ಮದ್ ಸಕಿಬ್ ಖಾನ್ ಇನಾನ್, ರೋಹನ್ ರಾಜ್, ಅಲೆಕ್ಸಾಂಡ್ರು ಪೆಟ್ರೆಸ್ಕು, అభಿಷೇಕ్ జೈಸ్వాల్, ನವ್ರಿನ್ ತಬಸ್ಸುಂ, ಇಒನ್ ಸಮುಲಿಯಾ ಮತ್ತು ಸ್ನಿಗ್ಧಾ ಅಗರವಲ್ +**🙏 ವಿಶೇಷ ಧನ್ಯವಾದಗಳು 🙏 ನಮ್ಮ ಮೈಕ್ರೋಸಾಫ್ಟ್ ವಿದ್ಯಾರ್ಥಿ ಅಂಬರ್‌ಡಾಸರ್ ಬರಹಗಾರರಿಗೆ, ವಿಮರ್ಶಕರಿಗೆ ಮತ್ತು ವಿಷಯ ನೆರವು ನೀಡಿದವರಿಗೆ**, ವಿಶೇಷವಾಗಿ ರಿಶಿತ್ ದಾಗ್ಲಿ, ಮುಹಮ್ಮದ್ ಸಕೀబ్ ಖಾನ್ ಇನאן, ರೋಹನ್ ರಾಜ್, ಅಲ್ಯಕ್ಸಾಂಡ್ರು ಪೆಟ್ರೆಸ್ಕು, ಅಭಿಷೇಕ್ ಜೈಸ್ವಾಲ್, ನವ್ರಿನ್ ತಬಸ್ಸುಂ, ಇಒನ್ ಸಾಮೈಲಾ, ಮತ್ತು ಸ್ಂಧಾ ಅಗರ್ವಲ್ -**🤩 ನಮ್ಮ R ಪಾಠಗಳಿಗೆ Microsoft ವಿದ್ಯಾರ್ಥಿ ಮೊಳಗೋಳಿಕರಾದ ಎರಿಕ್ ವಾನ್ಜೌ, ಜಸ್‌ಲೀನ್ ಸಂದಿ ಮತ್ತು ವಿದ್ಯುಷಿ ಗುಪ್ತಾಗೆ ಹೆಚ್ಚುವರಿ ಧನ್ಯವಾದಗಳು!** +**🤩 ನಮ್ಮ R ಪಾಠಗಳಿಗಾಗಿ ಮೈಕ್ರೋಸಾಫ್ಟ್ ವಿದ್ಯಾರ್ಥಿ ಅಂಬರ್‌ಡಾಸರ್ ಎರಿಕ್ ವಾಂಜಾಉ, ಜಸ್ಲೀನ್ ಸೊಂಧಿ ಮತ್ತು ವಿಡುಷಿ ಗುಪ್ತಾ ಅವರಿಗೆ ಹೆಚ್ಚುವರಿ ಧನ್ಯವಾದಗಳು!** # ಪ್ರಾರಂಭಿಸುವುದು ಈ ಹಂತಗಳನ್ನು ಅನುಸರಿಸಿ: -1. **ರಿಪೊಸಿಟರಿಯನ್ನು ಫೋರ್ಕ್ ಮಾಡಿ**: ಈ ಪುಟದ ಮೇಲೆ ಬಲ-ಮೇಲ್ಭಾಗದಲ್ಲಿ ಇರುವ "Fork" ಬಟನ್ ಕ್ಲಿಕ್ ಮಾಡಿ. -2. **ರಿಪೊಸಿಟರಿಯನ್ನು ಕ್ಲೋನ್ ಮಾಡಿ**: `git clone https://github.com/microsoft/ML-For-Beginners.git` +1. **ರೆಪೊ ಫೋರ್ಕ್ ಮಾಡಿ**: ಈ ಪುಟದ ಮೇಲ್ಭಾಗದ ಬಲಭಾಗದ "Fork" ಬಟನ್ ಅನ್ನು ಕ್ಲಿಕ್ ಮಾಡಿ. +2. **ರೆಪೊ ಕ್ಲೋನ್ಮಾಡಿ**: `git clone https://github.com/microsoft/ML-For-Beginners.git` -> [ಈ ಕೋರ್ಸ್‌ನ ಎಲ್ಲ ಹೆಚ್ಚುವರಿ ಸಂಪನ್ಮೂಲಗಳನ್ನು ನಮ್ಮ Microsoft Learn ಕಲಕ್ಷನ್‌ನಲ್ಲಿ ಕಂಡುಹಿಡಿಯಿರಿ](https://learn.microsoft.com/en-us/collections/qrqzamz1nn2wx3?WT.mc_id=academic-77952-bethanycheum) +> [ಈ ಕೋರ್ಸಿನ ಎಲ್ಲಾ ಹೆಚ್ಚುವರಿ ಸಂಪನ್ಮೂಲಗಳನ್ನು ನಮ್ಮ ಮೈಕ್ರೋಸಾಫ್ಟ್ ಲರ್ನ್ ಸಂಕಲನದಲ್ಲಿ ಹುಡುಕಿ](https://learn.microsoft.com/en-us/collections/qrqzamz1nn2wx3?WT.mc_id=academic-77952-bethanycheum) -> 🔧 **ಸಹಾಯ ಬೇಕೇ?** ಸ್ಥಾಪನೆ, ಸೆಟ್‌ಅಪ್ ಮತ್ತು ಪಾಠಗಳನ್ನು ನಡೆಸುವುದು ಸಂಬಂಧಿಸಿದ ಸಾಮಾನ್ಯ ಸಮಸ್ಯೆಗಳ ಪರಿಹಾರಗಳಿಗೆ [Troubleshooting Guide](TROUBLESHOOTING.md) ಪರಿಶೀಲಿಸಿ. +> 🔧 **ಸಹಾಯ ಬೇಕೇ?** ಸಾಮಾನ್ಯ ಸ್ಥಾಪನೆ, ಸೆಟಪ್ ಮತ್ತು ಪಾಠಗಳನ್ನು ಓಡಿಸುವ ಸಮಸ್ಯೆಗಳಿಗೆ ನಮ್ಮ [ತೊಂದರೆ ನಿವೇದನೆ ಮಾರ್ಗದರ್ಶಿ](TROUBLESHOOTING.md) ಅನ್ನು ಪರಿಶೀಲಿಸಿ. -**[ವಿದ್ಯಾರ್ಥಿಗಳು](https://aka.ms/student-page)**, ಈ ಪಠ್ಯಕ್ರಮವನ್ನು ಬಳಸಲು, ಪ್ರತಿಯೊಂದು ಯೂಸರ್ ಖಾತೆಗೆ ಸಂಪೂರ್ಣ ರೆಪೊ ಫೋರ್ಕ್ ಮಾಡಿ ಮತ್ತು ವ್ಯಾಯಾಮಗಳನ್ನು ಸ್ವತಃ ಅಥವಾ ಗುಂಪಿನಿಂದ ಪೂರ್ಣಗೊಳಿಸಿ: +**[ವಿದ್ಯಾರ್ಥಿಗಳು](https://aka.ms/student-page)**, ಈ ಓದುಕ್ರಮವನ್ನು ಬಳಸಲು, ಸಂಪೂರ್ಣ ರೆಪೊವನ್ನು ನಿಮ್ಮ ಗಿಥಬ್ ಖಾತೆಗೆ ಫೋರ್ಕ್ ಮಾಡಿ ಮತ್ತು ಅಭ್ಯಾಸಗಳನ್ನು ಸ್ವತಃ ಅಥವಾ ಗುಂಪಿನಲ್ಲಿ ಪೂರ್ಣಗೊಳಿಸಿ: -- ಪೂರ್ವ-ಪಾಠ ಕ್ವಿಜ್ ಸಿದ್ದಮಾಡಿ. -- ಉಪನ್ಯಾಸವನ್ನು ಓದಿ ಮತ್ತು ಚಟುವಟಿಕೆಗಳನ್ನು ಪೂರ್ಣಗೊಳಿಸಿ, ಪ್ರತಿ ನುಡಿದಾಟ ಪರೀಕ್ಷೆಯಲ್ಲಿ ವಿರಾಮಮೆಗೆ ಮತ್ತು ಪರಿಗಣನೆ ಮಾಡಿ. -- ಪರಿಹಾರ ಕೋಡ್ ಅನ್ನು ನಡಿಸುವುದಕ್ಕಿಂತ ಪಾಠವನ್ನು ಅರ್ಥಮಾಡಿಕೊಂಡು ಪ್ರಾಜೆಕ್ಟುಗಳನ್ನು ರಚಿಸಲು ಯತ್ನಿಸಿ; ಆದರೂ ಆ ಕೋಡ್ ಪ್ರತಿ ಪ್ರಾಜೆಕ್ಟ್ ಗುರಿಯಾಗಿರುವ ಪಾಠದ `/solution` ಫೋಲ್ಡರ್ ಒಳಗೆ ಲಭ್ಯವಿದೆ. -- ನಂತರದ ಪಾಠ ಕ್ವಿಜ್ ಹಾಕಿಕೊಳ್ಳಿ. -- ಸವಾಲು ಪೂರ್ಣಗೊಳಿಸಿ. -- ನಿಯೋಜನೆ ಪೂರ್ಣಗೊಳಿಸಿ. -- ಪಾಠ ಗುಂಪನ್ನು ಮುಗಿಸಿದ ಬಳಿಕ, [ಚರ್ಚಾ ಫಲಕಕ್ಕೆ](https://github.com/microsoft/ML-For-Beginners/discussions) ಭೇಟಿ ನೀಡಿ ಮತ್ತು "ಹಾಸ್ಟು ತಿಳಿಸಿ" - ಸರಿಯಾದ PAT ರೂಬ್ರಿಕ್ ಅನ್ನು ಭರ್ತಿ ಮಾಡಿ. 'PAT' ಅಂದರೆ ಪ್ರಗತಿ ಮೌಲ್ಯಮಾಪನ ಉಪಕರಣ, ನಿಮ್ಮ ಅಧ್ಯಯನದ ಮುಂದುವರಿಗೆಯನ್ನು ಸಹಾಯಕವಾಗಿಸಲು ನೀವು ಭರ್ತಿ ಮಾಡುವ ರೂಬ್ರಿಕ್. ಇತರ PATಗಳಿಗೆ ಪ್ರತಿಕ್ರಿಯಿಸುವ ಮೂಲಕ ನಾವು ಒಟ್ಟಿಗೆ ಕಲಿಯಬಹುದು. +- ಪಾಠ ಪೂರ್ವದ ಕ್ವಿಜ್ ಮೂಲಕ ಪ್ರಾರಂಭಿಸಿ. +- ಉಪನ್ಯಾಸವನ್ನು ಓದಿ ಮತ್ತು ಚಟುವಟಿಕೆಗಳನ್ನು ಪೂರೈಸಿ, ಪ್ರತಿ ಜ್ಞಾನ ಪರಿಶೀಲನೆಯಲ್ಲಿ ನಿಲ್ಲಿಸಿ ಮತ್ತು ಆಲೋಚಿಸಿ. +- ಪಾಠಗಳಿಗೆ “ಸಾಲ್ಯೂಶನ್ ಕೋಡ್” ಓಡಿಸುವ ಬದಲು, ಪಾಠಗಳನ್ನು ಅರ್ಥಮಾಡಿಕೊಂಡು ಯೋಜನೆಗಳನ್ನು ಸೃಷ್ಟಿಸಲು ಪ್ರಯತ್ನಿಸಿ; ಸೌಲಭ್ಯಕ್ಕೆ ಆ ಕೋಡ್ ಪ್ರತಿ ಯೋಜನೆ ಆಧಾರಿತ ಪಾಠದ `/solution` ಫೋಲ್ಡರ್ಸ್‌ನಲ್ಲಿದೆ. +- ಪಾಠವಾದ ನಂತರದ ಕ್ವಿಜ್ ಬಿಡಿ. +- ಚಾಲೆಂಜ್ ಪೂರೈಸಿ. +- ನಿಯೋಗ ಪೂರ್ಣಗೊಳಿಸಿ. +- ಪಾಠ ಗುಂಪನ್ನು ಸಂಪೂರ್ಣ ಮಾಡಿದ ನಂತರ, [ಚರ್ಚಾ ಫಲಕ](https://github.com/microsoft/ML-For-Beginners/discussions) ಗೆ ಭೇಟಿ ನೀಡಿ ಮತ್ತು ಸೂಕ್ತ PAT ರೂಬ್ರಿಕ್ ಮೂಲಕ 'ಲಾರ್ಜ್ ಲರ್ನಿಂಗ್' ಮಾಡಿ. 'PAT' ಎಂದರೆ ಪ್ರಗತಿ ಅಂಕನೋಪಕರಣ. ನೀವು ಇನ್ನಿತರ PAT ಗೆ ಪ್ರತಿಕ್ರಿಯೆ ನೀಡಬಹುದು, ಹೀಗೆ ನಾವು ಒಟ್ಟಿಗೆ ಕಲಿಯಬಹುದು. -> ಹೆಚ್ಚಿನ ಅಧ್ಯಯನಕ್ಕಾಗಿ, ಈ [Microsoft Learn](https://docs.microsoft.com/en-us/users/jenlooper-2911/collections/k7o7tg1gp306q4?WT.mc_id=academic-77952-leestott) ಮಾಯಾರುಗಳು ಮತ್ತು ಕಲಿಕೆಯ ಮಾರ್ಗಗಳು ಅನುಸರಿಸಲು ಶಿಫಾರಸು ಮಾಡುತ್ತೇವೆ. +> ಹೆಚ್ಚುವರಿ ಅಧ್ಯಯನಕ್ಕಾಗಿ, ಈ [Microsoft Learn](https://docs.microsoft.com/en-us/users/jenlooper-2911/collections/k7o7tg1gp306q4?WT.mc_id=academic-77952-leestott) ತರಗತಿಗಳು ಮತ್ತು ಕಲಿಕಾ ಮಾರ್ಗಗಳನ್ನು ಅನುಸರಿಸುವುದಾಗಿ ಶಿಫಾರಸು ಮಾಡುತ್ತೇವೆ. -**ಶಿಕ್ಷಕರು**, ಈ ಪಠ್ಯಕ್ರಮವನ್ನು ಬಳಸುವುದಕ್ಕೆ ನಾವು ಕೆಲವು [ಸೂಚನೆಗಳನ್ನು ಸೇರಿಸಿರುವೆವು](for-teachers.md). +**ಶಿಕ್ಷಕರಿಗೆ**, ಈ ಓದುಕ್ರಮವನ್ನು ಹೇಗೆ ಬಳಸುವುದು ಎಂಬುದರ ಕುರಿತು ನಾವು [ಕೆಲವು ಸಲಹೆಗಳು](for-teachers.md) ಒದಗಿಸಿದ್ದೇವೆ. --- -## ವಿಡಿಯೋ ವಾಕ್ಥ್ರೋಸ್ +## ವೀಡಿಯೋ ವಾಕ್ಥ್ರೂಗಳು -ಕೆಲವು ಪಾಠಗಳು ಸಂಕ್ಷಿಪ್ತ ವೀಡಿಯೋ ರೂಪದಲ್ಲಿ ಲಭ್ಯವಿವೆ. ನೀವು ಈ ಎಲ್ಲವನ್ನೂ ಪಾಠಗಳಲ್ಲಿಯೇ ಅಥವಾ [Microsoft ಡೆವಲಪರ್ ಯೂಟ್ಯೂಬ್ ಚಾನೆಲ್‌ನ ML for Beginners ಪ್ಲೇಲಿಸ್ಟ್](https://aka.ms/ml-beginners-videos) ನಲ್ಲಿ ಕಂಡುಹಿಡಿಯಬಹುದು, ಕೆಳಗಿನ ಚಿತ್ರವನ್ನು ಕ್ಲಿಕ್ ಮಾಡಿ. - -[![ML for beginners banner](../../../../translated_images/kn/ml-for-beginners-video-banner.63f694a100034bc6.webp)](https://aka.ms/ml-beginners-videos) +ಕೆಲವು ಪಾಠಗಳು ಚುಟುಕು ವೀಡಿಯೋ ರೂಪದಲ್ಲಿ ಲಭ್ಯವಿವೆ. ನೀವು ಈ ಎಲ್ಲವನ್ನು ಪಾಠಗಳಲ್ಲಿ ಸೇರಿದರೂ ಅಥವಾ [Microsoft ಡೆವಲಪರ್ YouTube ಚಾನೆಲು ML for Beginners ಪ್ಲೇಲಿಸ್ಟ್](https://aka.ms/ml-beginners-videos) ನಲ್ಲಿ ಚಿತ್ರವನ್ನು ಕ್ಲಿಕ್ ಮಾಡಿ ಕಾಣಬಹುದು. --- -## ತಂಡವನ್ನು ಪರಿಚಯಿಸಿ - -[![Promo video](../../images/ml.gif)](https://youtu.be/Tj1XWrDSYJU) - -**ಚಿತ್ರಣ** [ಮೊಹಿತ್ ಜೈಸಾಲ್](https://linkedin.com/in/mohitjaisal) +## ತಂಡವನ್ನು ಪರಿಚಯಿಸಿಕೊಳ್ಳಿ -> 🎥 ಯೋಜನೆ ಮತ್ತು ಅದನ್ನು ರಚಿಸಿದವರ ಬಗ್ಗೆ ವೀಡಿಯೊಗಾಗಿ ಮೇಲಿನ ಚಿತ್ರವನ್ನು ಕ್ಲಿಕ್ ಮಾಡಿ! +> 🎥 ಮೇಲಿನ ಚಿತ್ರವನ್ನು ಕ್ಲಿಕ್ ಮಾಡಿ ಯೋಜನೆ ಮತ್ತು ಅದನ್ನು ರಚಿಸಿದವರ ಬಗ್ಗೆ ವೀಡಿಯೋ ವೀಕ್ಷಣೆಗೆ! --- -## ಶಿಕ್ಷಣಶಾಸ್ತ್ರ - -ನಾವು ಈ ಪಠ್ಯಕ್ರಮವನ್ನು ರಚಿಸುವಾಗ ಎರಡು ಶಿಕ್ಷಣ ತತ್ವಗಳನ್ನು ಆಯ್ಕೆ ಮಾಡಿದ್ದೇವೆ: ಇದು ಕೈಮೇಲೆ **ಯೋಜನೆಾಧಾರಿತ** ಆಗಿರಬೇಕು ಮತ್ತು ಅದರಲ್ಲಿ **ಅನೇಕ ಕ್ವಿಜ್‌ಗಳು** ಇರಬೇಕು. ಇದಲ್ಲದೆ, ಈ ಪಠ್ಯಕ್ರಮದಲ್ಲಿ ಸಾಮಾನ್ಯ **ಥೀಮ್ಅಂಶ** ಕೂಡ ಇದೆ, ಇದರಿಂದ ಅದು ಸಮಗ್ರತೆಯನ್ನು ಪಡೆಯುತ್ತದೆ. - -ವಿಷಯಗಳು ಯೋಜನೆಗಳಿಗೆ ಹೊಂದಿಕೊಂಡಿರುವುದರಿಂದ, ವಿದ್ಯಾರ್ಥಿಗಳಿಗೆ ವ್ಯವಹಾರಿಕವಾಗುತ್ತದೆ ಮತ್ತು ಕಲಿತ ವಿಚಾರಗಳ ನಂಚಿಕೆ ಹೆಚ್ಚಿನ ಮಟ್ಟಕ್ಕೆ ತಿರುಗಿಬರುತ್ತದೆ. ಇದಲ್ಲದೆ, ತರಗತಿ ಮುಂಚೆ ಕಡಿಮೆ ಬಲದ ಕ್ವಿಜ್ ಒಂದು ವಿಷಯ ಕಲಿಯಲು ವಿದ್ಯಾರ್ಥಿಯ ಉದ್ದೇಶವನ್ನು ಆಗ<|vq_image_14350|><|vq_image_13388|><|vq_image_13388|><|vq_image_13388|><|vq_image_13388|><|vq_image_3256|><|vq_image_9434|><|vq_image_13388|><|vq_image_8244|><|vq_image_12999|><|vq_image_14098|><|vq_image_7681|><|vq_image_13388|><|vq_image_13389|><|image_border_14|><|vq_image_14099|><|vq_image_5276|><|vq_image_11020|><|vq_image_1881|><|vq_image_13388|><|vq_image_2301|><|vq_image_15595|><|vq_image_15595|><|vq_image_11755|><|vq_image_14336|><|vq_image_7681|><|vq_image_15510|><|vq_image_2699|><|vq_image_1881|><|vq_image_5132|><|vq_image_14099|><|image_border_15|><|vq_image_14850|><|vq_image_8244|><|vq_image_2641|><|vq_image_2699|><|vq_image_11118|><|vq_image_15595|><|vq_image_15595|><|vq_image_13748|><|vq_image_11118|><|vq_image_12895|><|vq_image_12895|><|vq_image_2699|><|vq_image_8244|><|vq_image_8244|><|vq_image_5276|><|vq_image_14099|> -> **ಕ್ವಿಜ್ಗಳ ಬಗ್ಗೆ ಒಂದು ಟಿಪ್ಪಣಿ**: ಎಲ್ಲಾ ಕ್ವಿಜ್ಗಳು [Quiz App folder](../../quiz-app) ನಲ್ಲಿ ಇದ್ದು, ಒಟ್ಟು 52 ಕ್ವಿಜ್‌ಗಳಿದ್ದು ಪ್ರತಿಯೊಂದರಲ್ಲೂ ಮೂರು ಪ್ರಶ್ನೆಗಳಿವೆ. ಅವುಗಳು ಪಾಠಗಳೊಳಗಿಂದ ಲಿಂಕ್ ಮಾಡಲ್ಪಟ್ಟಿದ್ದರೂ, ಕ್ವಿಜ್ ಆಪ್ ಅನ್ನು ಸ್ಥಳೀಯವಾಗಿಯೂ ಚಾಲನೆ ಮಾಡಬಹುದು; ಸ್ಥಳೀಯವಾಗಿ ಹೋಸ್ಟ್ ಅಥವಾ Azure ಗೆ ನಿಯೋಜಿಸಲು `quiz-app` ಫೋಲ್ಡರ್‌ನ ನಿರ್ದೇಶನವನ್ನು ಅನುಸರಿಸಿ. - -| ಪಾಠ ಸಂಖ್ಯೆ | ವಿಷಯ | ಪಾಠ ಗುಂಪು | ಕಲಿಕಾ ಉದ್ದೇಶಗಳು | ಲಿಂಕ್ ಮಾಡಿದ ಪಾಠ | ಲೇಖಕ | -| :-------: | :-----------------------------------------------------------: | :---------------------------------------------: | ---------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------: | -| 01 | ಯಂತ್ರ ಅಧ್ಯಯನಕ್ಕೆ ಪರಿಚಯ | [Introduction](1-Introduction/README.md) | ಯಂತ್ರ ಅಧ್ಯಯನದ ಹಿನ್ನಲೆಯಲ್ಲಿ ಇರುವ ಮೂಲಭೂತ ತತ್ವಗಳನ್ನು ಕಲಿಯಿರಿ | [ಪಾಠ](1-Introduction/1-intro-to-ML/README.md) | ಮುಖಮ್ಮದ್ | -| 02 | ಯಂತ್ರ ಅಧ್ಯಯನದ ಇತಿಹಾಸ | [Introduction](1-Introduction/README.md) | ಈ ಕ್ಷೇತ್ರದ ಇತಿಹಾಸವನ್ನು ತಿಳಿಯಿರಿ | [ಪಾಠ](1-Introduction/2-history-of-ML/README.md) | ಜೆನ್ ಮತ್ತು ಎಮಿ | -| 03 | ನ್ಯಾಯತೀರ್ಮಾನ ಮತ್ತು ಯಂತ್ರ ಅಧ್ಯಯನ | [Introduction](1-Introduction/README.md) | ಯುದ್ಧಬದ್ಧ ಯಂತ್ರ ಮಾದರಿಗಳನ್ನು ನಿರ್ಮಿಸುವಾಗ ಮತ್ತು ಅನ್ವಯಿಸುವಾಗ ವಿದ್ಯಾರ್ಥಿಗಳು ಪರಿಗಣಿಸಬೇಕಾದ ನ್ಯಾಯತೀರ್ಮಾನಕ್ಕೆ ಸಂಬಂಧಿಸಿದ ಪ್ರಮುಖ ತತ್ವಶಾಸ್ತ್ರೀಯ ವಿಷಯಗಳು ಏನು? | [ಪಾಠ](1-Introduction/3-fairness/README.md) | ತೊಮೊಮಿ | -| 04 | ಯಂತ್ರ ಅಧ್ಯಯನ ತಂತ್ರಗಳು | [Introduction](1-Introduction/README.md) | ಯಂತ್ರ ಅಧ್ಯಯನ ಗವೇಶಕರು ಯಂತ್ರ ಮಾದರಿಗಳನ್ನು ನಿರ್ಮಿಸಲು ಬಳಸುವ ತಂತ್ರಗಳು ಯಾವವು? | [ಪಾಠ](1-Introduction/4-techniques-of-ML/README.md) | ಕ್ರಿಸ್ ಮತ್ತು ಜೆನ್ | -| 05 | ರಿಗ್ರೇಶನ್ ಗೆ ಪರಿಚಯ | [Regression](2-Regression/README.md) | ರಿಗ್ರೇಶನ್ ಮಾದರಿಗಳಿಗೆ ಪೈಥಾನ್ ಮತ್ತು ಸ್ಕೈಕಿಟ್-ಲರ್ನ್ ಬಳಸಿ ಪ್ರಾರಂಭಿಸಿ | [Python](2-Regression/1-Tools/README.md) • [R](../../2-Regression/1-Tools/solution/R/lesson_1.html) | ಜೆನ್ • ಎರಿಕ್ ವಾಂಜೌ | -| 06 | ಉತ್ತರ ಅಮೆರಿಕನ್ ಗೋಡಂಬಿ ಬೆಲೆಗಳು 🎃 | [Regression](2-Regression/README.md) | ಯಂತ್ರ ಅಧ್ಯಯನದ ಪೂರ್ವತಯಾರಿಗಾಗಿ ಡೇಟಾವನ್ನು ದೃಶ್ಯೀಕರಿಸಿ ಮತ್ತು ಶುದ್ಧಗೊಳಿಸಿ | [Python](2-Regression/2-Data/README.md) • [R](../../2-Regression/2-Data/solution/R/lesson_2.html) | ಜೆನ್ • ಎರಿಕ್ ವಾಂಜೌ | -| 07 | ಉತ್ತರ ಅಮೆರಿಕನ್ ಗೋಡಂಬಿ ಬೆಲೆಗಳು 🎃 | [Regression](2-Regression/README.md) | ರೇಖೀಯ ಮತ್ತು ಬಹುಪದ ರಿಗ್ರೇಶನ್ ಮಾದರಿಗಳನ್ನು ನಿರ್ಮಿಸಿ | [Python](2-Regression/3-Linear/README.md) • [R](../../2-Regression/3-Linear/solution/R/lesson_3.html) | ಜೆನ್ ಮತ್ತು ಡ್ಮಿತ್ರಿ • ಎರಿಕ್ ವಾಂಜೌ | -| 08 | ಉತ್ತರ ಅಮೆರಿಕನ್ ಗೋಡಂಬಿ ಬೆಲೆಗಳು 🎃 | [Regression](2-Regression/README.md) | ಲಾಜಿಸ್ಟಿಕ್ ರಿಗ್ರೇಶನ್ ಮಾದರಿಯನ್ನು ನಿರ್ಮಿಸಿ | [Python](2-Regression/4-Logistic/README.md) • [R](../../2-Regression/4-Logistic/solution/R/lesson_4.html) | ಜೆನ್ • ಎರಿಕ್ ವಾಂಜೌ | -| 09 | ವೆಬ್ ಅಪ್ಲಿಕೇಶನ್ 🔌 | [Web App](3-Web-App/README.md) | ನಿಮ್ಮ ತರಬೇತುಗೊಂಡ ಮಾದರಿಯನ್ನು ಬಳಸಲು ವೆಬ್ ಅಪ್ಲಿಕೇಶನ್ ನಿರ್ಮಿಸಿ | [Python](3-Web-App/1-Web-App/README.md) | ಜೆನ್ | -| 10 | ವರ್ಗೀಕರಣಕ್ಕೆ ಪರಿಚಯ | [Classification](4-Classification/README.md) | ನಿಮ್ಮ ಡೇಟಾವನ್ನು ಶುದ್ಧಗೊಳಿಸಿ, ಪೂರ್ವತಯಾರು ಮಾಡಿ ಮತ್ತು ದೃಶ್ಯೀಕರಿಸಿ; ವರ್ಗೀಕರಣಕ್ಕೆ ಪರಿಚಯ | [Python](4-Classification/1-Introduction/README.md) • [R](../../4-Classification/1-Introduction/solution/R/lesson_10.html) | ಜೆನ್ ಮತ್ತು ಕ್ಯಾಸಿ • ಎರಿಕ್ ವಾಂಜೌ | -| 11 | ರುಚಿಕರ ಏಷ್ಯನ್ ಮತ್ತು ಭಾರತೀಯ ಆಹಾರಗಳು 🍜 | [Classification](4-Classification/README.md) | ವರ್ಗೀಕರಣಕಾರರಿಗೆ ಪರಿಚಯ | [Python](4-Classification/2-Classifiers-1/README.md) • [R](../../4-Classification/2-Classifiers-1/solution/R/lesson_11.html) | ಜೆನ್ ಮತ್ತು ಕ್ಯಾಸಿ • ಎರಿಕ್ ವಾಂಜೌ | -| 12 | ರುಚಿಕರ ಏಷ್ಯನ್ ಮತ್ತು ಭಾರತೀಯ ಆಹಾರಗಳು 🍜 | [Classification](4-Classification/README.md) | ಇನ್ನಷ್ಟು ವರ್ಗೀಕರಣಕಾರರು | [Python](4-Classification/3-Classifiers-2/README.md) • [R](../../4-Classification/3-Classifiers-2/solution/R/lesson_12.html) | ಜೆನ್ ಮತ್ತು ಕ್ಯಾಸಿ • ಎರಿಕ್ ವಾಂಜೌ | -| 13 | ರುಚಿಕರ ಏಷ್ಯನ್ ಮತ್ತು ಭಾರತೀಯ ಆಹಾರಗಳು 🍜 | [Classification](4-Classification/README.md) | ನಿಮ್ಮ ಮಾದರಿಯನ್ನು ಬಳಸಿ ಶಿಫಾರಸು ಮಾಡುವ ವೆಬ್ ಅಪ್ಲಿಕೇಶನ್ ನಿರ್ಮಿಸಿ | [Python](4-Classification/4-Applied/README.md) | ಜೆನ್ | -| 14 | ಕ್ಲಸ್ಟರಿಂಗ್ ಗೆ ಪರಿಚಯ | [Clustering](5-Clustering/README.md) | ನಿಮ್ಮ ಡೇಟಾವನ್ನು ಶುದ್ಧಗೊಳಿಸಿ, ಪೂರ್ವತಯಾರು ಮಾಡಿ ಮತ್ತು ದೃಶ್ಯೀಕರಿಸಿ; ಕ್ಲಸ್ಟರಿಂಗ್ ಗೆ ಪರಿಚಯ | [Python](5-Clustering/1-Visualize/README.md) • [R](../../5-Clustering/1-Visualize/solution/R/lesson_14.html) | ಜೆನ್ • ಎರಿಕ್ ವಾಂಜೌ | -| 15 | ನೈಜೀರಿಯನ್ ಸಂಗೀತ ರುಚಿಗಳನ್ನು ಅನ್ವೇಷಣೆ 🎧 | [Clustering](5-Clustering/README.md) | K-ಮೀನ್ಸ್ ಕ್ಲಸ್ಟರಿಂಗ್ ವಿಧಾನವನ್ನು ಅನ್ವೇಷಿಸಿ | [Python](5-Clustering/2-K-Means/README.md) • [R](../../5-Clustering/2-K-Means/solution/R/lesson_15.html) | ಜೆನ್ • ಎರಿಕ್ ವಾಂಜೌ | -| 16 | ನೈಸರ್ಗಿಕ ಭಾಷಾ ಪ್ರಕ್ರಿಯೆಗೆ ಪರಿಚಯ ☕️ | [Natural language processing](6-NLP/README.md) | ಸರಳ ಬಾಟ್ ನಿರ್ಮಿಸುವ ಮೂಲಕ NLP ನ ಮೂಲಭೂತಗಳನ್ನು ಕಲಿಯಿರಿ | [Python](6-NLP/1-Introduction-to-NLP/README.md) | ಸ್ಟೀಫನ್ | -| 17 | ಸಾಮಾನ್ಯ NLP ಕಾರ್ಯಗಳು ☕️ | [Natural language processing](6-NLP/README.md) | ಭಾಷೆಯ ರಚನೆಗಳೊಂದಿಗೆ ವ್ಯವಹರಿಸುವಾಗ ಬೇಕಾದ ಸಾಮಾನ್ಯ ಕಾರ್ಯಗಳನ್ನು ಸಮರ್ಥವಾಗಿ ತಿಳಿದುಕೊಳ್ಳಿ | [Python](6-NLP/2-Tasks/README.md) | ಸ್ಟೀಫನ್ | -| 18 | ಭಾಷಾಂತರ ಮತ್ತು ಭಾವನಾತ್ಮಕ ವಿಶ್ಲೇಷಣೆ ♥️ | [Natural language processing](6-NLP/README.md) | ಜೆನ್ ಅಸ್ಟನ್ ಬಳಸಿ ಭಾಷಾಂತರ ಮತ್ತು ಭಾವನಾತ್ಮಕ ವಿಶ್ಲೇಷಣೆ | [Python](6-NLP/3-Translation-Sentiment/README.md) | ಸ್ಟೀಫನ್ | -| 19 | ಯುರೋಪಿನ ರೋಮ್ಯಾಂಟಿಕ್ ಹೋಟೆಲ್ಗಳು ♥️ | [Natural language processing](6-NLP/README.md) | ಹೋಟೆಲ್ ವಿಮರ್ಶೆಗಳೊಂದಿಗೆ ಭಾವನಾತ್ಮಕ ವಿಶ್ಲೇಷಣೆ 1 | [Python](6-NLP/4-Hotel-Reviews-1/README.md) | ಸ್ಟೀಫನ್ | -| 20 | ಯುರೋಪಿನ ರೋಮ್ಯಾಂಟಿಕ್ ಹೋಟೆಲ್ಗಳು ♥️ | [Natural language processing](6-NLP/README.md) | ಹೋಟೆಲ್ ವಿಮರ್ಶೆಗಳೊಂದಿಗೆ ಭಾವನಾತ್ಮಕ ವಿಶ್ಲೇಷಣೆ 2 | [Python](6-NLP/5-Hotel-Reviews-2/README.md) | ಸ್ಟೀಫನ್ | -| 21 | ಕಾಲ ಧಾರಾ ಮುಂಭಾವನೆಗೆ ಪರಿಚಯ | [Time series](7-TimeSeries/README.md) | ಕಾಲ ಧಾರಾ ಮುಂಭಾವನೆಗೆ ಪರಿಚಯ | [Python](7-TimeSeries/1-Introduction/README.md) | ಫ್ರಾನ್ಸೆಸ್ಕಾ | -| 22 | ⚡️ ವಿಶ್ವ ವಿದ್ಯುತ್ ಬಳಕೆ ⚡️ - ARIMA ಯೊಂದಿಗೆ ಕಾಲ ಧಾರಾ ಮುಂಭಾವನೆ | [Time series](7-TimeSeries/README.md) | ARIMA ಯೊಂದಿಗೆ ಕಾಲ ಧಾರಾ ಮುಂಭಾವನೆ | [Python](7-TimeSeries/2-ARIMA/README.md) | ಫ್ರಾನ್ಸೆಸ್ಕಾ | -| 23 | ⚡️ ವಿಶ್ವ ವಿದ್ಯುತ್ ಬಳಕೆ ⚡️ - SVR ಯೊಂದಿಗೆ ಕಾಲ ಧಾರಾ ಮುಂಭಾವನೆ | [Time series](7-TimeSeries/README.md) | ಸಪೋರ್ಟ್ ವೆಕ್ಟರ್ ರಿಗ್ರೇಶರ್ ಬಳಸಿ ಕಾಲ ಧಾರಾ ಮುಂಭಾವನೆ | [Python](7-TimeSeries/3-SVR/README.md) | ಅನಿರ್ಬಾನ್ | -| 24 | ಬಲವರ್ಧನೆ ಕಲಿಕೆಗೆ ಪರಿಚಯ | [Reinforcement learning](8-Reinforcement/README.md) | Q-ಲರ್ನಿಂಗ್ ಬಳಸಿ ಬಲವರ್ಧನೆ ಕಲಿಕೆಗೆ ಪರಿಚಯ | [Python](8-Reinforcement/1-QLearning/README.md) | ಡ್ಮಿತ್ರಿ | -| 25 | ಪೀಟರ್ ನಾಡಿ ಆನೆಯನ್ನು ತಪ್ಪಿಸಿ! 🐺 | [Reinforcement learning](8-Reinforcement/README.md) | ರೀನ್ಫೋರ್ಸ್‌ಮೆಂಟ್ ಲರ್ನಿಂಗ್ ಜಿಮ್ | [Python](8-Reinforcement/2-Gym/README.md) | ಡ್ಮಿತ್ರಿ | -| ಪೋಷ್‌ಸ್ಕ್ರಿಪ್ಟ್ | ವಾಸ್ತವಿಕ ಜಗತ್ತಿನ ಯಂತ್ರ ಅಧ್ಯಯನ ದೃಶ್ಯಗಳು ಮತ್ತು ಅನ್ವಯಣೆಗಳು | [ML in the Wild](9-Real-World/README.md) | ಕ್ಲಾಸಿಕಲ್ ಎಂಎಲ್‌ನ ರೋಚಕ ಮತ್ತು ಬಹಿರಂಗ ಪ್ರಕಾರಗಳು | [ಪಾಠ](9-Real-World/1-Applications/README.md) | ತಂಡ | -| ಪೋಷ್‌ಸ್ಕ್ರಿಪ್ಟ್ | RAI ಡ್ಯಾಶ್ಬೋರ್ಡ್ ಬಳಸಿ ಎಂಎಲ್ನಲ್ಲಿನ ಮಾದರಿ ಡಿಬಗ್ಗಿಂಗ್ | [ML in the Wild](9-Real-World/README.md) | ರೆಸ್ಪಾನ್ಸಿಬಲ್ AI ಡ್ಯಾಶ್ಬೋರ್ಡ್ ಘಟಕಗಳನ್ನು ಬಳಸಿ ಯಂತ್ರ ಅಧ್ಯಯನದಲ್ಲಿ ಮಾದರಿ ಡಿಬಗ್ಗಿಂಗ್ | [ಪಾಠ](9-Real-World/2-Debugging-ML-Models/README.md) | ರೂತ್ ಯಾಕುಬು | - -> [ಈ ಕೋರ್ಸ್‌ಗೆ ಸಂಬಂಧಿಸಿದ ಎಲ್ಲ ಹೆಚ್ಚುವರಿ ಸಂಪನ್ಮೂಲಗಳನ್ನು ನಮ್ಮ Microsoft Learn ಸಂಗ್ರಹದಲ್ಲಿ ಕಂಡುಕೊಳ್ಳಿ](https://learn.microsoft.com/en-us/collections/qrqzamz1nn2wx3?WT.mc_id=academic-77952-bethanycheum) - -## ಆಫ್‌ಲೈನ್ ಪ್ರವೇಶ - -[Docsify](https://docsify.js.org/#/) ಬಳಸಿ ನೀವು ಈ ದಾಖಲೆಗಳನ್ನು ಆಫ್‌ಲೈನ್‌ನಲ್ಲಿ ಚಾಲನೆ ಮಾಡಬಹುದು. ಈ ರೆಪೊವನ್ನು ಫೋರ್ಕ್ ಮಾಡಿ, ನಿಮ್ಮ ಸ್ಥಳೀಯ ಯಂತ್ರದಲ್ಲಿ [Docsify ಅನ್ನು ಸ್ಥಾಪಿಸಿ](https://docsify.js.org/#/quickstart), ನಂತರ ಈ ರೆಪೊ ರೂಟ್ ಫೋಲ್ಡರ್‌ನಲ್ಲಿ `docsify serve` ಟೈಪ್ ಮಾಡಿ. ವೆಬ್‌സೈಟ್ ನಿಮ್ಮ ಲೊಕಲ್‌ಹೋಸ್ಟ್‌ನಲ್ಲಿ ಪೋರ್ಟ್ 3000 ರಲ್ಲಿ ಲಭ್ಯವಾಗುತ್ತದೆ: `localhost:3000`. +## ಅಧ್ಯಯನ ಪೈಪೋಟಿ + +ನಾವು ಈ ಓದುಕ್ರಮವನ್ನು ನಿರ್ಮಿಸುವಾಗ ಎರಡು ಅಧ್ಯಯನ ತತ್ವಗಳನ್ನು ಆಯ್ಕೆಮಾಡಿದ್ದೇವೆ: ಇದು ಕೈಗೂಡಬಹುದಾದ **ಯೋಜನೆ ಆಧಾರಿತ** ಆಗಿರಬೇಕು ಮತ್ತು ಅದು **ಸರಿಗಮಪ ದರದ ಪ್ರಶ್ನೋತ್ತರಗಳನ್ನು** ಒಳಗೊಂಡಿರಬೇಕು. ಜೊತೆಗೆ, ಈ ಓದುಕ್ರಮಕ್ಕೆ ಸಾಮಾನ್ಯ **ವಿಷಯಸೂತ್ರ** ಇದ್ದು ಅದರಿಂದ ಒಂದು ಬದ್ಧತೆ ಬರುತ್ತದೆ. + +ವಿಷಯವನ್ನು ಯೋಜನೆಗಳಿಗೆ ಹೊಂದಿಸುವ ಮೂಲಕ ವಿದ್ಯಾರ್ಥಿಗಳಿಗೆ ಅದನ್ನು ಅನುಭವಿಸಲು ಮತ್ತು ಕಲಿತ ವಿಷಯಗಳಿಡಕೆ ಹೆಚ್ಚುವರಿ ಸಾಂದ್ರತೆ ಸಿಗುತ್ತದೆ. ತರಗತಿಯ ಮೊದಲು ಕಡಿಮೆ-ಅಂಕದ ಪ್ರಶ್ನೋತ್ತರವು ವಿದ್ಯಾರ್ಥಿಯು ಒಂದು ವಿಷಯ ಕಲಿಯಲು ಇಚ್ಛೆಯ ಬೆಳೆದಂತೆ ಮಾಡುತ್ತದೆ, ಮತ್ತು ನಂತರದ ಪ್ರಶ್ನೋತ್ತರವು ಹೆಚ್ಚುವರಿ ನೆನಪನ್ನು ಖಚಿತಪಡಿಸುತ್ತದೆ. ಈ ಓದುಕ್ರಮವು ಬಹುಮುಖ ಮತ್ತು ಮನರಂಜನಾತ್ಮಕವಾಗಿದ್ದು, ಸಂಪೂರ್ಣವಾಗಿ ಅಥವಾ ಭಾಗವಾಗಿ ತೆಗೆದುಕೊಳ್ಳಬಹುದು. ಯೋಜನೆಗಳು ಸಣ್ಣದಾಗಿ ಪ್ರಾರಂಭವಾಗಿ 12 ವಾರಗಳ ಚಕ್ರದ ಕೊನೆಯಲ್ಲಿ ಜಟಿಲವಾಗುತ್ತದೆ. ಈ ಓದುಕ್ರಮವು ಎಂಎಲ್ ನ ನೈಜ-ಜಗತ್ತಿನ ಅನ್ವಯಿಕೆಗಳ ಕುರಿತು ಒಂದು ಇಳಿವೆಯನ್ನೂ ಒಳಗೊಂಡಿದೆ, ಅದು ಹೆಚ್ಚುವರಿ ಕ್ರೆಡಿಟ್ ಅಥವಾ ಚರ್ಚೆಗೆ ಆಧರಾಗಿ ಬಳಸಬಹುದು. + +> ನಮ್ಮ [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), [Translation](TRANSLATIONS.md), ಮತ್ತು [Troubleshooting](TROUBLESHOOTING.md) ಮಾರ್ಗಸೂಚಿಗಳನ್ನು ನೋಡಿ. ನಿಮ್ಮ ನಿರ್ಮಾಣಾತ್ಮಕ ಪ್ರತಿಕ್ರಿಯೆಯನ್ನು ಸ್ವಾಗತಿಸುತ್ತೇವೆ! + +## ಪ್ರತಿ ಪಾಠದಲ್ಲಿ ಇದಿವೆ + +- ಐಚ್ಛಿಕ ಸ್ಕೆಚ್ನೋಟ್ +- ಐಚ್ಛಿಕ ಹ@FXML ಅಪ್ಡೇಟ್ ವೀಡಿಯೋ +- ವೀಡಿಯೋ ವಾಕ್ಥ್ರೂ (ಕೆಲವು ಪಾಠಗಳು ಮಾತ್ರ) +- [ಪೂರ್ವ-ಪಾಠ ತಾತ್ಕಾಲಿಕ ಪ್ರಶ್ನೋತ್ತರ](https://ff-quizzes.netlify.app/en/ml/) +- ಬರಹಪದ ಪಾಠ +- ಯೋಜನೆ ಆಧಾರಿತ ಪಾಠಗಳಿಗೆ ಪ್ರತಿ ಹಂತದ ಮಾರ್ಗದರ್ಶನ +- ಜ್ಞಾನ ಪರೀಕ್ಷೆಗಳು +- ಒಂದು ಚಾಲೆಂಜ್ +- ಪೂರಕ ಓದು +- ನಿಯೋಗ +- [ಪೋಸ್ಟ್-ಪಾಠ ಪ್ರಶ್ನೋತ್ತರ](https://ff-quizzes.netlify.app/en/ml/) + +> **ಭಾಷೆ ಕುರಿತು ಟಿಪ್ಪಣಿ**: ಈ ಪಾಠಗಳು ಮುಖ್ಯವಾಗಿ Python ನಲ್ಲಿ ಬರೆಯಲ್ಪಟ್ಟಿವೆ, ಆದರೆ ಅನೇಕವೂ R ನಲ್ಲಿ ಲಭ್ಯವಿವೆ. R ಪಾಠವನ್ನು ಪೂರ್ಣಗೊಳಿಸಲು `/solution` ಫೋಲ್ಡರ್ನಲ್ಲಿ R ಪಾಠಗಳನ್ನು ಹುಡುಕಿ. ಅವುಗಳಲ್ಲಿ .rmd ವಿಸ್ತರಣೆ ಇರುತ್ತದೆ, ಇದು **R Markdown** ಫೈಲ್ ಆಗಿದ್ದು ಅದು `ಕೋಡ್ ಚಂಕ್‌ಗಳು` (R ಅಥವಾ ಇತರೆ ಭಾಷೆಗಳ) ಮತ್ತು `YAML ಶೀರ್ಷಿಕೆ` ಅನ್ನು ಒಳಗೊಂಡಿದೆ, ಇದು PDFಂತಹ ಆಕಾರಗಳಿಗೆ ಔಟ್‌ಪುಟ್ ಅನ್ನು ನಿರ್ವಹಿಸಲು ಮಾರ್ಗದರ್ಶಿಸುತ್ತದೆ Markdown ಡಾಕ್ಯುಮೆಂಟ್ ಅನ್ನು. ಆದಕಾರಣ, ಇದು ಡೇಟಾ ಸೈನ್ಸ್‌ಗಾಗಿ ಉತ್ತಮ ಪ್ರಾಧಿಕಾರ_Framework ಆಗಿದೆ, ಏಕೆಂದರೆ ನೀವು ನಿಮ್ಮ ಕೋಡ್, ಅದರ ಔಟ್‌ಪುಟ್, ಮತ್ತು ನಿಮ್ಮ ಆಲೋಚನೆಗಳನ್ನು Markdown ನಲ್ಲಿ ಬರೆದು ಸಂಯೋಜಿಸಬಹುದು. ಇನ್ನೂ, R Markdown ಡಾಕ್ಯುಮೆಂಟ್‌ಗಳನ್ನು PDF, HTML, ಅಥವಾ Word ರೀತಿಗಳಲ್ಲಿ ರೂಪಾಂತರಿಸಬಹುದು. +> **ಕ್ವಿಜ್‌ಗಳ ಬಗ್ಗೆ ಟಿಪ್ಪಣಿ**: ಎಲ್ಲಾ ಕ್ವಿಜ್‌ಗಳು [Quiz App ಫೋಲ್ಡರ್](../../quiz-app) ನಲ್ಲಿ ಸಂಗ್ರಹಿಸಲ್ಪಟ್ಟಿವೆ, ಪ್ರತಿ ಮೂವರು ಪ್ರಶ್ನೆಗಳ 52 ಸಂಪೂರ್ಣ ಕ್ವಿಜ್‌ಗಳಿವೆ. ಅವು ಪಾಠಗಳೊಳಗಿನ ಲಿಂಕುಗಳ ಮೂಲಕ ಸಂಪರ್ಕ ಹೊಂದಿವೆ ಆದರೆ ಕ್ವಿಜ್ ಆಪ್ ಅನ್ನು ಸ್ಥಳೀಯವಾಗಿ ನಡೆಸಬಹುದು; ಸ್ಥಳೀಯವಾಗಿ ಆತಿಥ್ಯ ವಹಿಸಲು ಅಥವಾ Azure ಗೆ ಹೋಸ್ಟ್ ಮಾಡಲು `quiz-app` ಫೋಲ್ಡರ್‌ನ ಸೂಚನೆಯನ್ನು ಅನುಸರಿಸಿ. + +| ಪಾಠ ಸಂಖ್ಯೆ | ವಿಷಯ | ಪಾಠ ಗುಂಪು | ಅಧ್ಯಯನ ಉದ್ದೇಶಗಳು | ಲಿಂಕು ಪಾಠ | ಲೇಖಕ | +| :-------: | :------------------------------------------------------------: | :---------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------ | :--------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------: | +| 01 | ಯಂತ್ರ ಅಧ್ಯಯನದ ಪರಿಚಯ | [ಪರಿಚಯ](1-Introduction/README.md) | ಯಂತ್ರ ಅಧ್ಯಯನದ ಮೂಲ ತತ್ವಗಳನ್ನು ಕಲಿಯಿರಿ | [ಪಾಠ](1-Introduction/1-intro-to-ML/README.md) | ಮುಹಮ್ಮದ್ | +| 02 | ಯಂತ್ರ ಅಧ್ಯಯನದ ಇತಿಹಾಸ | [ಪರಿಚಯ](1-Introduction/README.md) | ಈ ಕ್ಷೇತ್ರದ ಹಿಂದಿನ ಇತಿಹಾಸವನ್ನು ತಿಳಿಯಿರಿ | [ಪಾಠ](1-Introduction/2-history-of-ML/README.md) | ಜೆನ್ ಮತ್ತು ಎಮಿ | +| 03 | ನ್ಯಾಯತಪ್ರತಿಬಂಧ ಮತ್ತು ಯಂತ್ರ ಅಧ್ಯಯನ | [ಪರಿಚಯ](1-Introduction/README.md) | ಯಂತ್ರ ಮಾದರಿಗಳನ್ನು ರಚಿಸುವ ಮತ್ತು ಅನ್ವಯಿಸುವಾಗ ವಿದ್ಯಾರ್ಥಿಗಳು ಪರಿಗಣಿಸಬೇಕಾಗಿರುವ ನ್ಯಾಯತದ ಪ್ರಮುಖ ತತ್ವಜ್ಞಾನ ವಿರುದ್ದ ಯಾವವು? | [ಪಾಠ](1-Introduction/3-fairness/README.md) | ತೊಮೊಮಿ | +| 04 | ಯಂತ್ರ ಅಧ್ಯಯನಕ್ಕೆ ತಂತ್ರಗಳು | [ಪರಿಚಯ](1-Introduction/README.md) | ಯಂತ್ರ ಮಾದರಿಗಳನ್ನು ರಚಿಸಲು ಯಂತ್ರ ಅಧ್ಯಯನ ಸಂಶೋಧಕರು ಯಾವ ತಂತ್ರಗಳನ್ನು ಬಳಸುತ್ತಾರೆ? | [ಪಾಠ](1-Introduction/4-techniques-of-ML/README.md) | ಕ್ರಿಸ್ ಮತ್ತು ಜೆನ್ | +| 05 | ಸಂಬಂಧಿತ ನಿಯಮಾವಳಿಗಳ ಪರಿಚಯ | [ಸಂಬಂಧಿತ ನಿಯಮಾವಳಿಗಳು](2-Regression/README.md) | ಸಂಬಂಧಿತ ಮಾದರಿಗಳಿಗೆ ಪೈಥಾನ್ ಮತ್ತು ಸ್ಕೈಕಿಟ್‌ಲರ್ನ್ ಅನ್ನು ಪ್ರಾರಂಭಿಸಿ | [Python](2-Regression/1-Tools/README.md) • [R](../../2-Regression/1-Tools/solution/R/lesson_1.html) | ಜೆನ್ • ಎರಿಕ್ ವಾಂಜಶೌ | +| 06 | ನಾರ್ತ್ ಅಮೆರಿಕನ್ ಕद्दು ತುಂಬಿಸಿದ ಬೆಲೆಗಳು 🎃 | [ಸಂಬಂಧಿತ ನಿಯಮಾವಳಿಗಳು](2-Regression/README.md) | ಯಂತ್ರ ಅಧ್ಯಯನದ ಪೂರ್ವತಯಾರಿಕೆಗೆ ಡೇಟಾವನ್ನು ದೃಶ್ಯೀಕರಿಸಿ ಮತ್ತು ಸ್ವಚ್ಛಗೊಳಿಸಿ | [Python](2-Regression/2-Data/README.md) • [R](../../2-Regression/2-Data/solution/R/lesson_2.html) | ಜೆನ್ • ಎರಿಕ್ ವಾಂಜಶೌ | +| 07 | ನಾರ್ತ್ ಅಮೆರಿಕನ್ ಕದ್ದು ತುಂಬಿಸಿದ ಬೆಲೆಗಳು 🎃 | [ಸಂಬಂಧಿತ ನಿಯಮಾವಳಿಗಳು](2-Regression/README.md) | ರೇಖೀಯ ಮತ್ತು ಬಹುಘಾತ ಸಂಬಂಧಿತ ಮಾದರಿಗಳನ್ನು ರಚಿಸಿ | [Python](2-Regression/3-Linear/README.md) • [R](../../2-Regression/3-Linear/solution/R/lesson_3.html) | ಜೆನ್ ಮತ್ತು ಡಿಮಿಟ್ರಿ • ಎರಿಕ್ ವಾಂಜಶೌ | +| 08 | ನಾರ್ತ್ ಅಮೆರಿಕನ್ ಕದ್ದು ತುಂಬಿಸಿದ ಬೆಲೆಗಳು 🎃 | [ಸಂಬಂಧಿತ ನಿಯಮಾವಳಿಗಳು](2-Regression/README.md) | ಲಾಜಿಸ್ಟಿಕ್ ಸಂಬಂಧಿತ ಮಾದರಿಯನ್ನು ರಚಿಸಿ | [Python](2-Regression/4-Logistic/README.md) • [R](../../2-Regression/4-Logistic/solution/R/lesson_4.html) | ಜೆನ್ • ಎರಿಕ್ ವಾಂಜಶೌ | +| 09 | ವೆಬ್ ಆಪ್ 🔌 | [ವೆಬ್ ಆಪ್](3-Web-App/README.md) | ತರಬೇತುಗೊಂಡ ಮಾದರಿಯನ್ನು ಬಳಸಲು ವೆಬ್ ಆಪ್ ರಚಿಸಿ | [Python](3-Web-App/1-Web-App/README.md) | ಜೆನ್ | +| 10 | ವರ್ಗೀಕರಣಕ್ಕೆ ಪರಿಚಯ | [ವರ್ಗೀಕರಣ](4-Classification/README.md) | ಡೇಟಾವನ್ನು ಶುದ್ಧಗೊಳಿಸಿ, ಸಿದ್ಧಪಡಿಸಿ ಮತ್ತು ದೃಶ್ಯೀಕರಿಸಿ; ವರ್ಗೀಕರಣಕ್ಕೆ ಪರಿಚಯ | [Python](4-Classification/1-Introduction/README.md) • [R](../../4-Classification/1-Introduction/solution/R/lesson_10.html) | ಜೆನ್ ಮತ್ತು ಕ್ಯासी • ಎರಿಕ್ ವಾಂಜಶೌ | +| 11 | ರುಚಿಕರ ಏಷ್ಯನ್ ಮತ್ತು ಭಾರತೀಯ ಆಹಾರಗಳು 🍜 | [ವರ್ಗೀಕರಣ](4-Classification/README.md) | ವರ್ಗೀಕರಣಗಳಿಗೆ ಪರಿಚಯ | [Python](4-Classification/2-Classifiers-1/README.md) • [R](../../4-Classification/2-Classifiers-1/solution/R/lesson_11.html) | ಜೆನ್ ಮತ್ತು ಕ್ಯಾಸ್ • ಎರಿಕ್ ವಾಂಜಶೌ | +| 12 | ರುಚಿಕರ ಏಷ್ಯನ್ ಮತ್ತು ಭಾರತೀಯ ಆಹಾರಗಳು 🍜 | [ವರ್ಗೀಕರಣ](4-Classification/README.md) | ಇನ್ನಷ್ಟು ವರ್ಗೀಕರಣ ವಿಧಾನಗಳು | [Python](4-Classification/3-Classifiers-2/README.md) • [R](../../4-Classification/3-Classifiers-2/solution/R/lesson_12.html) | ಜೆನ್ ಮತ್ತು ಕ್ಯಾಸ್ • ಎರಿಕ್ ವಾಂಜಶೌ | +| 13 | ರುಚಿಕರ ಏಷ್ಯನ್ ಮತ್ತು ಭಾರತೀಯ ಆಹಾರಗಳು 🍜 | [ವರ್ಗೀಕರಣ](4-Classification/README.md) | ನಿಮ್ಮ ಮಾದರಿಯನ್ನು ಬಳಸಿಕೊಂಡು ಶಿಫಾರಸು ವೇಬ್ ಆಪ್ ರಚಿಸಿ | [Python](4-Classification/4-Applied/README.md) | ಜೆನ್ | +| 14 | ಕ್ಲಸ್ಟರಿಂಗ್ ಗೆ ಪರಿಚಯ | [ಕ್ಲಸ್ಟರಿಂಗ್](5-Clustering/README.md) | ನಿಮ್ಮ ಡೇಟಾವನ್ನು ಶುದ್ದಗೊಳಿಸಿ, ಸಿದ್ಧಪಡಿಸಿ ಮತ್ತು ದೃಶ್ಯೀಕರಿಸಿ; ಕ್ಲಸ್ಟರಿಂಗ್ ಗೆ ಪರಿಚಯ | [Python](5-Clustering/1-Visualize/README.md) • [R](../../5-Clustering/1-Visualize/solution/R/lesson_14.html) | ಜೆನ್ • ಎರಿಕ್ ವಾಂಜಶೌ | +| 15 | ನೈಜೀರಿಯನ್ ಮ್ಯೂಸಿಕಲ್ ರುಚಿಗಳ ಅನ್ವೇಷಣೆ 🎧 | [ಕ್ಲಸ್ಟರಿಂಗ್](5-Clustering/README.md) | ಕೆ-ಮೀನ್ ಕ್ಲಸ್ಟರಿಂಗ್ ವಿಧಾನವನ್ನು ಅನ್ವೇಷಿಸಿ | [Python](5-Clustering/2-K-Means/README.md) • [R](../../5-Clustering/2-K-Means/solution/R/lesson_15.html) | ಜೆನ್ • ಎರಿಕ್ ವಾಂಜಶೌ | +| 16 | ನೈಸರ್ಗಿಕ ಭಾಷಾ ಪ್ರಕ್ರಿಯೆಗೆ ಪರಿಚಯ ☕️ | [ನೈಸರ್ಗಿಕ ಭಾಷಾ ಪ್ರಕ್ರಿಯೆ](6-NLP/README.md) | ಸರಳ ಬಾಟ್ ರಚನೆಯ ಮೂಲಕ NLP ಮೂಲಗಳನ್ನು ಕಲಿಯಿರಿ | [Python](6-NLP/1-Introduction-to-NLP/README.md) | ಸ್ಟೀಫನ್ | +| 17 | ಸಾಮಾನ್ಯ NLP ಕಾರ್ಯಗಳು ☕️ | [ನೈಸರ್ಗಿಕ ಭಾಷಾ ಪ್ರಕ್ರಿಯೆ](6-NLP/README.md) | ಭಾಷೆ ರಚನೆಗಳೊಂದಿಗೆ ಕೆಲಸ ಮಾಡುವಾಗ ಅಗತ್ಯವಿರುವ ಸಾಮಾನ್ಯ ಕಾರ್ಯಗಳನ್ನು ಅರ್ಥಮಾಡಿಕೊಳ್ಳಿ ಮತ್ತು ನಿಮ್ಮ NLP ಜ್ಞಾನವನ್ನು ವಿಸ್ತರಿಸಿ | [Python](6-NLP/2-Tasks/README.md) | ಸ್ಟೀಫನ್ | +| 18 | ಅನುವಾದ ಮತ್ತು ಭಾವ ವಿಶ್ಲೇಷಣೆ ♥️ | [ನೈಸರ್ಗಿಕ ಭಾಷಾ ಪ್ರಕ್ರಿಯೆ](6-NLP/README.md) | ಜೆನ್ ಆಸ್ಟಿನ್ ಜೊತೆ ಅನುವಾದ ಮತ್ತು ಭಾವ ವಿಶ್ಲೇಷಣೆ | [Python](6-NLP/3-Translation-Sentiment/README.md) | ಸ್ಟೀಫನ್ | +| 19 | ಯುರೋಪಿನ ರೊಮ್ಯಾಂಟಿಕ್ ಹೋಟೆಲ್ಗಳು ♥️ | [ನೈಸರ್ಗಿಕ ಭಾಷಾ ಪ್ರಕ್ರಿಯೆ](6-NLP/README.md) | ಹೋಟೆಲ್ ವಿಮರ್ಶೆಗಳೊಂದಿಗೆ ಭಾವ ವಿಶ್ಲೇಷಣೆ 1 | [Python](6-NLP/4-Hotel-Reviews-1/README.md) | ಸ್ಟೀಫನ್ | +| 20 | ಯುರೋಪಿನ ರೊಮ್ಯಾಂಟಿಕ್ ಹೋಟೆಲ್ಗಳು ♥️ | [ನೈಸರ್ಗಿಕ ಭಾಷಾ ಪ್ರಕ್ರಿಯೆ](6-NLP/README.md) | ಹೋಟೆಲ್ ವಿಮರ್ಶೆಗಳೊಂದಿಗೆ ಭಾವ ವಿಶ್ಲೇಷಣೆ 2 | [Python](6-NLP/5-Hotel-Reviews-2/README.md) | ಸ್ಟೀಫನ್ | +| 21 | ಸಮಯ ಸರಣಿಯ ಮುನ್ಸೂಚನೆಯ ಪರಿಚಯ | [ಸಮಯ ಸರಣಿ](7-TimeSeries/README.md) | ಸಮಯ ಸರಣಿಯ ಮುನ್ಸೂಚನೆಯ ಪರಿಚಯ | [Python](7-TimeSeries/1-Introduction/README.md) | ಫ್ರಾನ್ಸೆಸ್ಕಾ | +| 22 | ⚡️ ವಿಶ್ವ ವಿದ್ಯುತ್ ಬಳಕೆ ⚡️ - ARIMA-ನೊಂದಿಗೆ ಸಮಯ ಸರಣಿ ಮುನ್ಸೂಚನೆ | [ಸಮಯ ಸರಣಿ](7-TimeSeries/README.md) | ARIMA ನೊಂದಿಗೆ ಸಮಯ ಸರಣಿ ಮುನ್ಸೂಚನೆ | [Python](7-TimeSeries/2-ARIMA/README.md) | ಫ್ರಾನ್ಸೆಸ್ಕಾ | +| 23 | ⚡️ ವಿಶ್ವ ವಿದ್ಯುತ್ ಬಳಕೆ ⚡️ - SVR-ನೊಂದಿಗೆ ಸಮಯ ಸರಣಿ ಮುನ್ಸೂಚನೆ | [ಸಮಯ ಸರಣಿ](7-TimeSeries/README.md) | ಸಪೋರ್ಟ್ ವೆಕ್ಟರ್ ರಿಗ್ರೆಸರ್ ಮೂಲಕ ಸಮಯ ಸರಣಿ ಮುನ್ಸೂಚನೆ | [Python](7-TimeSeries/3-SVR/README.md) | ಅನಿರ್ಬಾನ್ | +| 24 | ನೇತೃತ್ವ ಕಲಿಕೆಯ ಪರಿಚಯ | [ನೇತೃತ್ವ ಕಲಿಕೆ](8-Reinforcement/README.md) | Q-ಕಲಿಕೆಯಲ್ಲಿ ನೇತೃತ್ವ ಕಲಿಕೆಯ ಪರಿಚಯ | [Python](8-Reinforcement/1-QLearning/README.md) | ಡಿಮಿಟ್ರಿ | +| 25 | ಪೀಟರ್ ಅನ್ನು ಕುರೆಯಿಂದ ತಪ್ಪಿಸು! 🐺 | [ನೇತೃತ್ವ ಕಲಿಕೆ](8-Reinforcement/README.md) | ನೇತೃತ್ವ ಕಲಿಕೆಯ ಜಿಮ್ | [Python](8-Reinforcement/2-Gym/README.md) | ಡಿಮಿಟ್ರಿ | +| ನಂತರದ ಪ್ರಕಾರ | ನೈಜ ಯಂತ್ರ ಅಧ್ಯಯನ ದೃಶ್ಯಗಳು ಮತ್ತು ಅನ್ವಯಿಕೆಗಳು | [ಕ್ರಮಬದ್ಧ ಮದ್ದಿನಲ್ಲಿ ML](9-Real-World/README.md) | ಔಪಚಾರಿಕ ಯಂತ್ರ ಅಧ್ಯಯನದ ಆಸಕ್ತಿದಾಯಕ ಮತ್ತು ಬಹುಮುಖ್ಯ ನೈಜ-ಜಗತ್ತಿನ ಅನ್ವಯಿಕೆಗಳು | [ಪಾಠ](9-Real-World/1-Applications/README.md) | ತಂಡ | +| ನಂತರದ ಪ್ರಕಾರ | RAI ಡ್ಯಾಶ್‌ಬೋರ್ಡ್ ಬಳಸಿ ML ಮಾದರಿ ಡಿಬಗಿಂಗ್ | [ಕ್ರಮಬದ್ಧ ಮದ್ದಿನಲ್ಲಿ ML](9-Real-World/README.md) | ಜವಾಬ್ದಾರಿಯಾದ AI ಡ್ಯಾಶ್‌ಬೋರ್ಡ್ ಘಟಕಗಳನ್ನು ಬಳಸಿ ಯಂತ್ರ ಅಧ್ಯಯನದಲ್ಲಿ ಮಾದರಿ ಡಿಬಗಿಂಗ್ | [ಪಾಠ](9-Real-World/2-Debugging-ML-Models/README.md) | ರೂತ್ ಕಾಯ್ತುಬು | + +> [ಈ ಕೋರ್ಸಿನ ಎಲ್ಲಾ ಹೆಚ್ಚುವರಿ ಸಂಪನ್ಮೂಲಗಳನ್ನು ನಮ್ಮ ಮೈಕ್ರೋಸಾಫ್ಟ್ ಲರ್ನ್ ಸಂಗ್ರಹದಲ್ಲಿ ಹುಡುಕಿ](https://learn.microsoft.com/en-us/collections/qrqzamz1nn2wx3?WT.mc_id=academic-77952-bethanycheum) + +## ಆಫ್‌ಲೈನ್ ಪ್ರಾಪ್ತಿ + +ನೀವು ಈ ದಸ್ತಾವೇಜುಗಳನ್ನು ಆಫ್‌ಲೈನ್‌ನಲ್ಲಿ [Docsify](https://docsify.js.org/#/) ಬಳಸಿ ನಡೆಸಬಹುದು. ಈ ರೆಪೋ ಅನ್ನು ಫೋರ್ಕ್ ಮಾಡಿ, ನಿಮ್ಮ ಸ್ಥಳೀಯ ಯಂತ್ರದಲ್ಲಿ [Docsify ಅನ್ನು ಸ್ಥಾಪಿಸಿ](https://docsify.js.org/#/quickstart), ನಂತರ ಈ ರೆಪೋ ರूट ಫೋಲ್ಡರ್ ನಲ್ಲಿ `docsify serve` ಟೈಪ್ ಮಾಡಿ. ವೆಬ್‌ಸೈಟ್ ನಿಮ್ಮ ಲೋಕಲ್‌ಹೋಸ್ಟ್ ನಲ್ಲಿ ಪೋಟ್ 3000 ರಂದು ಪ್ರServe ಮಾಡಲಾಗುವುದು: `localhost:3000`. ## PDF ಗಳು -[ಇಲ್ಲಿ](https://microsoft.github.io/ML-For-Beginners/pdf/readme.pdf) ಲಿಂಕ್‌ಗಳೊಂದಿಗೆ ಪಠ್ಯಕ್ರಮದ pdf ಅನ್ನು ಕಂಡುಹಿಡಿಯಿರಿ. +ಲಿಂಕುಗಳಿಂದ ಪಠ್ಯಕ್ರಮದ PDF ಅನ್ನು ಇಲ್ಲಿ ಹುಡುಕಿ [ಇಲ್ಲಿ](https://microsoft.github.io/ML-For-Beginners/pdf/readme.pdf). +## 🎒 ಇತರೆ ಕೋರ್ಸುಗಳು -## 🎒 ಇತರ ಕೋರ್ಸುಗಳು - -ನಮ್ಮ ತಂಡ ಇತರ ಕೋರ್ಸುಗಳನ್ನು ಉತ್ಪಾದಿಸುತ್ತದೆ! ನೋಡಿ: +ನಮ್ಮ ತಂಡ ಇತರೆ ಕೋರ್ಸುಗಳನ್ನು ಉತ್ಪಾದಿಸುತ್ತದೆ! ಪರಿಶೀಲಿಸಿ: -### LangChain +### ಲ್ಯಾಂಗ್‌ಚೈನ್ [![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) [![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) --- -### Azure / Edge / MCP / Agents +### ಅಜೂರ್ / ಎಡ್ಜ್ / MCP / ಏಜೆಂಟ್ಸ್ [![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) [![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) [![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) @@ -170,44 +154,44 @@ Microsoft ನ ಕ್ಲೌಡ್ ಅಡ್ವೊಕೇಟ್‌ಗಳು 12 ವ --- -### Generative AI Series -[![ಹೊಸವರಿಗಾಗಿ ಜನರೆಟಿವ್ AI](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![ಜನರೆಟಿವ್ AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) -[![ಜನರೆಟಿವ್ AI (ಜಾವಾ)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) -[![ಜನರೆಟಿವ್ AI (ಜಾವಾಸ್ಕ್ರಿಪ್ಟ್)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) +### ಜನರೇಟಿವ್ AI ಸರಣಿ +[![ಆರಂಭಿಕರಿಗಾಗಿ ಜನರೇಟಿವ್ AI](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![ಜನರೇಟಿವ್ AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) +[![ಜನರೇಟಿವ್ AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) +[![ಜನರೇಟಿವ್ AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) --- -### ಮೂಲ ಅಧ್ಯಯನ -[![ಹೊಸವರಿಗಾಗಿ ML](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) -[![ಹೊಸವರಿಗಾಗಿ ಡೇಟಾ ಸೈನ್ಸ್](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) -[![ಹೊಸವರಿಗಾಗಿ AI](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) -[![ಹೊಸವರಿಗಾಗಿ ಸೈಬರ್ ಜಾಗೃತಿ](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) -[![ಹೊಸವರಿಗಾಗಿ ವೆಬ್ ಡೆವ್](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) -[![ಹೊಸವರಿಗಾಗಿ IoT](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) -[![ಹೊಸವರಿಗಾಗಿ XR ಡೆವಲಪ್ಮೆಂಟ್](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) +### ಸ್ನಾಯು ಕೋರ್ ಕಲಿಕೆ +[![ಆರಂಭಿಕರಿಗಾಗಿ ಎಂಎಲ್](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) +[![ಆರಂಭಿಕರಿಗಾಗಿ ಡೇಟಾ ಸೈನ್ಸ್](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) +[![ಆರಂಭಿಕರಿಗಾಗಿ AI](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) +[![ಆರಂಭಿಕರಿಗಾಗಿ ಸೈಬರ್‌ಸಿಕ್ಯುರಿಟಿ](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) +[![ಆರಂಭಿಕರಿಗಾಗಿ ವೆಬ್ ಡೆವ್](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) +[![ಆರಂಭಿಕರಿಗಾಗಿ ಐಒಟಿ](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) +[![ಆರಂಭಿಕರಿಗಾಗಿ XR ಅಭಿವೃದ್ಧಿ](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- -### ಕೋಟ್ಪೈಲಟ್ ಸರಣಿ -[![AI ಜೋಡಿಸಿದ ಪ್ರೋಗ್ರಾಮಿಂಗ್‌ಗೆ ಕೋಟ್ಪೈಲಟ್](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) -[![C#/.NETಗಾಗಿ ಕೋಟ್ಪೈಲಟ್](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) -[![ಕೋಟ್ಪೈಲಟ್ ಸಾಹಸ](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) +### ಕೋಪೈಲಟ್ ಸರಣಿ +[![AI ಜೋಡಣೆ ಪ್ರೋಗ್ರಾಮಿಂಗ್‌ನಿಗಾಗಿ ಕೋಪೈಲಟ್](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +[![C#/.NET ಗಾಗಿ ಕೋಪೈಲಟ್](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) +[![ಕೋಪೈಲಟ್ ಸಾಹಸ](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) -## ಸಹಾಯ ಪಡೆಯುವಿಕೆ +## ಸಹಾಯ ಪಡೆಯುವುದು -ನೀವು ಅಡುಕಾಗಿದ್ದೀರಾ ಅಥವಾ AI ಅಪ್ಲಿಕೇಶನ್ಗಳನ್ನು ನಿರ್ಮಿಸುವ ಬಗ್ಗೆ ಯಾವುದೇ ಪ್ರಶ್ನೆಗಳಿವೆ. MCP ಕುರಿತು ಚರ್ಚೆಗಳಲ್ಲಿ ಇತರ ಅಧ್ಯಯನಾರ್ಥಿಗಳು ಮತ್ತು ಅನುಭವಸंपನ್ನರನ್ನೂ ಸೇರಿ. ಇದು ಪ್ರಶ್ನೆಗಳಿಗೆ ಅವಕಾಶ ನೀಡುವ ಸಹಾಯಕ ಸಮುದಾಯ ಮತ್ತು ಜ್ಞಾನವನ್ನು ಮುಕ್ತವಾಗಿ ಹಂಚಿಕೊಳ್ಳಲಾಗುತ್ತದೆ. +ನೀವು ಅಡ್ಡಪಡೆಯುವುದಾದರೆ ಅಥವಾ AI ಅಪ್ಲಿಕೇಶನ್‌ಗಳನ್ನು ನಿರ್ಮಿಸುವ ಬಗ್ಗೆ ಯಾವ ಬೆಳೆಸುಗಳು ಇದ್ದರೂ, MCP ಬಗ್ಗೆ ಚರ್ಚೆಗಳಲ್ಲಿ ಅನುಭವಜ್ಞಾನಿ ಅಭ್ಯಾಸಿಗಳು ಮತ್ತು ಸಹಯೋಗಿ ಕಲಿಯುವವರ ಜೊತೆ ಸೇರಿ. ಇದು ಬೆಂಬಲಿತ ಸಮುದಾಯವಾಗಿದ್ದು, ಅಲ್ಲಿ ಪ್ರಶ್ನೆಗಳಿಗೆ ಸ್ವಾಗತವಿದ್ದು ಮತ್ತು ಜ್ಞಾನವನ್ನು ಮುಕ್ತವಾಗಿ ಹಂಚಿಕೊಳ್ಳಲಾಗುತ್ತದೆ. -[![ಮೈಕ್ರೋಸಾಫ್ಟ್ ಫೌಂಡ್ರಿ ಡಿಸ್ಕಾರ್ಡ್](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -ನೀವು ಉತ್ಪನ್ನಪ್ರತೀಕಿರಣೆ ಅಥವಾ ನಿರ್ಮಾಣದ ಸಮಯದಲ್ಲಿ ದೋಷಗಳನ್ನು ನೋಡಿದರೆ ಭೇಟಿ ನೀಡಿ: +ನೀವು ಉತ್ಪನ್ನ ಪ್ರತಿಕ್ರಿಯೆ ಅಥವಾ ದೋಷಗಳನ್ನು ಉಂಟುಮಾಡುತ್ತಿದ್ದರೆ, ಭೇಟಿ ನೀಡಿ: -[![ಮೈಕ್ರೋಸಾಫ್ಟ್ ಫೌಂಡ್ರಿ ಡೆವಲಪರ್ ಫೋರಂ](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) +[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) --- -**ಅನ್ವಯಿಸಿ**: -ಈ ದಾಖಲೆ AI ಅನುವಾದ ಸೇವೆ [Co-op Translator](https://github.com/Azure/co-op-translator) ಬಳಸಿ ಅನುವಾದಿಸಲಾಗಿದೆ. ನಾವು ನಿಖರತೆಗಾಗಿ ಪ್ರಯತ್ನಿಸುತ್ತಿದ್ದರೂ, ಸ್ವಯಂಚಾಲಿತ ಅನುವಾದಗಳಲ್ಲಿ ದೋಷಗಳು ಅಥವಾ ಅಸತ್ಯತೆಗಳಿರಬಹುದು ಎಂದು ದಯವಿಟ್ಟು ಗಮನಿಸಿ. ಮೂಲ ಭಾಷೆಯಲ್ಲಿ ಇರುವ ಮೂಲ ದಾಖಲೆ ಅಧಿಕೃತ ಮೂಲ ಎಂದು ಪರಿಗಣಿಸಬೇಕು. ಅತಿ ಮಹತ್ವದ ಮಾಹಿತಿಗಾಗಿ, ವೃತ್ತಿಪರ ಮಾನವ ಅನುವಾದ ಶಿಫಾರಸು ಮಾಡಲಾಗಿದೆ. ಈ ಅನುವಾದ ಬಳಕೆಯಿಂದ ಉಂಟಾಗುವ ಯಾವುದೇ ತಪ್ಪು ಅರ್ಥದ ಅಥವಾ ತಪ್ಪು ವ್ಯಾಖ್ಯಾನಗಳಿಗಾಗಿ ನಾವು ಜವಾಬ್ದಾರಿಯಲ್ಲ. +**ಅಸ್ವೀಕರಣಗಳು**: +ಈ ದಾಖಲೆ [Co-op Translator](https://github.com/Azure/co-op-translator) ಎಂಬ AI ಅನುವಾದ ಸೇವೆಯನ್ನು ಬಳಸಿ ಅನುವಾದಿಸಲಾಗಿದೆ. ನಾವು ಶುದ್ಧತೆಯಿಗಾಗಿ ಪ್ರಯತ್ನಿಸುತ್ತಿದ್ದರೂ ಸಹ, ಸ್ವಯಂಚಾಲಿತ ಅನುವಾದಗಳಲ್ಲಿ ತಪ್ಪುಗಳು ಅಥವಾ ದೋಷಗಳು ಇರಬಹುದು ಎಂದು ದಯವಿಟ್ಟು ಗಮನಿಸಿ. ಮೂಲ ದಾಖಲೆ ಅದರ ಸ್ವದೇಶಿ ಭಾಷೆಯಲ್ಲಿ ಅಧಿಕೃತ ಸ್ರೋತವಾಗಿ ಪರಿಗಣಿಸಬೇಕು. ಪ್ರಮುಖ ಮಾಹಿತಿಗಾಗಿ ವೃತ್ತಿಪರ ಮಾನವ ಅನುವಾದವನ್ನು ಶಿಫಾರಸು ಮಾಡಲಾಗುತ್ತದೆ. ಈ ಅನುವಾದದ ಬಳಕೆಯಿಂದ ಉಂಟಾಗುವ ಯಾವುದೇ ತಪ್ಪು ಗ್ರಹಿಕೆಗಳು ಅಥವಾ ಭ್ರಮೆಗಳಿಗೆ ನಾವು ಜವಾಬ್ದಾರಿಯಲ್ಲ. \ No newline at end of file diff --git a/translations/kn/SECURITY.md b/translations/kn/SECURITY.md index 32d35d101..19de759d2 100644 --- a/translations/kn/SECURITY.md +++ b/translations/kn/SECURITY.md @@ -1,12 +1,3 @@ - ## ಭದ್ರತೆ ಮೈಕ್ರೋಸಾಫ್ಟ್ ನಮ್ಮ ಸಾಫ್ಟ್‌ವೇರ್ ಉತ್ಪನ್ನಗಳು ಮತ್ತು ಸೇವೆಗಳ ಭದ್ರತೆಯನ್ನು ಗಂಭೀರವಾಗಿ ತೆಗೆದುಕೊಳ್ಳುತ್ತದೆ, ಇದರಲ್ಲಿ ನಮ್ಮ GitHub ಸಂಸ್ಥೆಗಳ ಮೂಲಕ ನಿರ್ವಹಿಸಲಾದ ಎಲ್ಲಾ ಮೂಲ ಕೋಡ್ ಸಂಗ್ರಹಣೆಗಳು ಸೇರಿವೆ, ಅವುಗಳಲ್ಲಿ [Microsoft](https://github.com/Microsoft), [Azure](https://github.com/Azure), [DotNet](https://github.com/dotnet), [AspNet](https://github.com/aspnet), [Xamarin](https://github.com/xamarin), ಮತ್ತು [ನಮ್ಮ GitHub ಸಂಸ್ಥೆಗಳು](https://opensource.microsoft.com/) ಸೇರಿವೆ. diff --git a/translations/kn/SUPPORT.md b/translations/kn/SUPPORT.md index d37aeae77..c7c267954 100644 --- a/translations/kn/SUPPORT.md +++ b/translations/kn/SUPPORT.md @@ -1,12 +1,3 @@ - # ಬೆಂಬಲ ## ಸಮಸ್ಯೆಗಳನ್ನು ದಾಖಲಿಸುವುದು ಮತ್ತು ಸಹಾಯ ಪಡೆಯುವುದು ಹೇಗೆ diff --git a/translations/kn/TROUBLESHOOTING.md b/translations/kn/TROUBLESHOOTING.md index f735d345c..62b45bf0c 100644 --- a/translations/kn/TROUBLESHOOTING.md +++ b/translations/kn/TROUBLESHOOTING.md @@ -1,12 +1,3 @@ - # ಸಮಸ್ಯೆ ಪರಿಹಾರ ಮಾರ್ಗದರ್ಶಿ ಈ ಮಾರ್ಗದರ್ಶಿ ಯಂತ್ರ ಅಧ್ಯಯನ ಆರಂಭಿಕರ ಪಠ್ಯಕ್ರಮದೊಂದಿಗೆ ಕೆಲಸ ಮಾಡುವಾಗ ಸಾಮಾನ್ಯ ಸಮಸ್ಯೆಗಳನ್ನು ಪರಿಹರಿಸಲು ಸಹಾಯ ಮಾಡುತ್ತದೆ. ನೀವು ಇಲ್ಲಿ ಪರಿಹಾರವನ್ನು ಕಂಡುಕೊಳ್ಳದಿದ್ದರೆ, ದಯವಿಟ್ಟು ನಮ್ಮ [Discord ಚರ್ಚೆಗಳು](https://aka.ms/foundry/discord) ಅನ್ನು ಪರಿಶೀಲಿಸಿ ಅಥವಾ [ಒಂದು ಸಮಸ್ಯೆಯನ್ನು ತೆರೆಯಿರಿ](https://github.com/microsoft/ML-For-Beginners/issues). diff --git a/translations/kn/docs/_sidebar.md b/translations/kn/docs/_sidebar.md index 7291ebf05..9aa73aa19 100644 --- a/translations/kn/docs/_sidebar.md +++ b/translations/kn/docs/_sidebar.md @@ -1,12 +1,3 @@ - - ಪರಿಚಯ - [ಯಂತ್ರ ಅಧ್ಯಯನಕ್ಕೆ ಪರಿಚಯ](../1-Introduction/1-intro-to-ML/README.md) - [ಯಂತ್ರ ಅಧ್ಯಯನದ ಇತಿಹಾಸ](../1-Introduction/2-history-of-ML/README.md) diff --git a/translations/kn/for-teachers.md b/translations/kn/for-teachers.md index bbce2552e..b8b1350f0 100644 --- a/translations/kn/for-teachers.md +++ b/translations/kn/for-teachers.md @@ -1,12 +1,3 @@ - ## ಶಿಕ್ಷಕರಿಗಾಗಿ ನೀವು ಈ ಪಠ್ಯಕ್ರಮವನ್ನು ನಿಮ್ಮ ತರಗತಿಯಲ್ಲಿ ಬಳಸಲು ಇಚ್ಛಿಸುತ್ತೀರಾ? ದಯವಿಟ್ಟು ಮುಕ್ತವಾಗಿ ಬಳಸಿಕೊಳ್ಳಿ! diff --git a/translations/kn/quiz-app/README.md b/translations/kn/quiz-app/README.md index 93349597a..afca5fff5 100644 --- a/translations/kn/quiz-app/README.md +++ b/translations/kn/quiz-app/README.md @@ -1,12 +1,3 @@ - # ಪ್ರಶ್ನೋತ್ತರಗಳು ಈ ಪ್ರಶ್ನೋತ್ತರಗಳು https://aka.ms/ml-beginners ನಲ್ಲಿ ML ಪಠ್ಯಕ್ರಮದ ಪೂರ್ವ ಮತ್ತು ನಂತರದ ಪ್ರಶ್ನೋತ್ತರಗಳಾಗಿವೆ diff --git a/translations/kn/sketchnotes/LICENSE.md b/translations/kn/sketchnotes/LICENSE.md index b9b9d2def..a2672e16a 100644 --- a/translations/kn/sketchnotes/LICENSE.md +++ b/translations/kn/sketchnotes/LICENSE.md @@ -1,12 +1,3 @@ - ಅಟ್ರಿಬ್ಯೂಷನ್-ಶೇರ್ ಅಲೈಕ್ 4.0 ಇಂಟರ್‌ನ್ಯಾಷನಲ್ ======================================================================= diff --git a/translations/kn/sketchnotes/README.md b/translations/kn/sketchnotes/README.md index a26be0b86..be68296d7 100644 --- a/translations/kn/sketchnotes/README.md +++ b/translations/kn/sketchnotes/README.md @@ -1,12 +1,3 @@ - ಎಲ್ಲಾ ಪಠ್ಯಕ್ರಮದ ಸ್ಕೆಚ್‌ನೋಟ್ಗಳನ್ನು ಇಲ್ಲಿ ಡೌನ್‌ಲೋಡ್ ಮಾಡಬಹುದು. 🖨 ಉನ್ನತ-ರಿಜಲ್ಯೂಶನ್‌ನಲ್ಲಿ ಮುದ್ರಣಕ್ಕಾಗಿ, TIFF ಆವೃತ್ತಿಗಳು [ಈ ರೆಪೋ](https://github.com/girliemac/a-picture-is-worth-a-1000-words/tree/main/ml/tiff) ನಲ್ಲಿ ಲಭ್ಯವಿವೆ. diff --git a/translations/ml/.co-op-translator.json b/translations/ml/.co-op-translator.json new file mode 100644 index 000000000..c13f35bb0 --- /dev/null +++ b/translations/ml/.co-op-translator.json @@ -0,0 +1,596 @@ +{ + "1-Introduction/1-intro-to-ML/README.md": { + "original_hash": "69389392fa6346e0dfa30f664b7b6fec", + 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"2025-12-19T13:01:04+00:00", + "source_file": "quiz-app/README.md", + "language_code": "ml" + }, + "sketchnotes/LICENSE.md": { + "original_hash": "fba3b94d88bfb9b81369b869a1e9a20f", + "translation_date": "2025-12-19T13:16:39+00:00", + "source_file": "sketchnotes/LICENSE.md", + "language_code": "ml" + }, + "sketchnotes/README.md": { + "original_hash": "a88d5918c1b9da69a40d917a0840c497", + "translation_date": "2025-12-19T13:12:23+00:00", + "source_file": "sketchnotes/README.md", + "language_code": "ml" + } +} \ No newline at end of file diff --git a/translations/ml/1-Introduction/1-intro-to-ML/README.md b/translations/ml/1-Introduction/1-intro-to-ML/README.md index 2612584f0..500360d7d 100644 --- a/translations/ml/1-Introduction/1-intro-to-ML/README.md +++ b/translations/ml/1-Introduction/1-intro-to-ML/README.md @@ -1,12 +1,3 @@ - # മെഷീൻ ലേണിങ്ങിലേക്ക് പരിചയം ## [പ്രീ-ലെക്ചർ ക്വിസ്](https://ff-quizzes.netlify.app/en/ml/) diff --git a/translations/ml/1-Introduction/1-intro-to-ML/assignment.md b/translations/ml/1-Introduction/1-intro-to-ML/assignment.md index c737e7b15..56e0b75b3 100644 --- a/translations/ml/1-Introduction/1-intro-to-ML/assignment.md +++ b/translations/ml/1-Introduction/1-intro-to-ML/assignment.md @@ -1,12 +1,3 @@ - # ആരംഭിച്ച് പ്രവർത്തിക്കുക ## നിർദ്ദേശങ്ങൾ diff --git a/translations/ml/1-Introduction/2-history-of-ML/README.md b/translations/ml/1-Introduction/2-history-of-ML/README.md index f243012c7..4de4911d6 100644 --- a/translations/ml/1-Introduction/2-history-of-ML/README.md +++ b/translations/ml/1-Introduction/2-history-of-ML/README.md @@ -1,12 +1,3 @@ - # മെഷീൻ ലേണിങ്ങിന്റെ ചരിത്രം ![മെഷീൻ ലേണിങ്ങിന്റെ ചരിത്രത്തിന്റെ സംഗ്രഹം ഒരു സ്കെച്ച്നോട്ടിൽ](../../../../translated_images/ml/ml-history.a1bdfd4ce1f464d9.webp) diff --git a/translations/ml/1-Introduction/2-history-of-ML/assignment.md b/translations/ml/1-Introduction/2-history-of-ML/assignment.md index 1a6caa3f0..a8e4a27eb 100644 --- a/translations/ml/1-Introduction/2-history-of-ML/assignment.md +++ b/translations/ml/1-Introduction/2-history-of-ML/assignment.md @@ -1,12 +1,3 @@ - # ഒരു ടൈംലൈൻ സൃഷ്ടിക്കുക ## നിർദ്ദേശങ്ങൾ diff --git a/translations/ml/1-Introduction/3-fairness/README.md b/translations/ml/1-Introduction/3-fairness/README.md index 780ad3ca0..0b00c14b5 100644 --- a/translations/ml/1-Introduction/3-fairness/README.md +++ b/translations/ml/1-Introduction/3-fairness/README.md @@ -1,12 +1,3 @@ - # ഉത്തരവാദിത്വമുള്ള AI ഉപയോഗിച്ച് മെഷീൻ ലേണിംഗ് പരിഹാരങ്ങൾ നിർമ്മിക്കൽ ![Summary of responsible AI in Machine Learning in a sketchnote](../../../../translated_images/ml/ml-fairness.ef296ebec6afc98a.webp) diff --git a/translations/ml/1-Introduction/3-fairness/assignment.md b/translations/ml/1-Introduction/3-fairness/assignment.md index ec8231851..d7106bafb 100644 --- a/translations/ml/1-Introduction/3-fairness/assignment.md +++ b/translations/ml/1-Introduction/3-fairness/assignment.md @@ -1,12 +1,3 @@ - # ഉത്തരവാദിത്വമുള്ള AI ടൂൾബോക്സ് അന്വേഷിക്കുക ## നിർദ്ദേശങ്ങൾ diff --git a/translations/ml/1-Introduction/4-techniques-of-ML/README.md b/translations/ml/1-Introduction/4-techniques-of-ML/README.md index 7aab8b282..6cf7df42c 100644 --- a/translations/ml/1-Introduction/4-techniques-of-ML/README.md +++ b/translations/ml/1-Introduction/4-techniques-of-ML/README.md @@ -1,12 +1,3 @@ - # മെഷീൻ ലേണിങ്ങിന്റെ സാങ്കേതിക വിദ്യകൾ മെഷീൻ ലേണിംഗ് മോഡലുകൾ നിർമ്മിക്കുന്നതും ഉപയോഗിക്കുന്നതും പരിപാലിക്കുന്നതും, അവ ഉപയോഗിക്കുന്ന ഡാറ്റയും, മറ്റ് പല വികസന പ്രവൃത്തികളിൽ നിന്നുള്ളവയിൽ നിന്ന് വളരെ വ്യത്യസ്തമായ പ്രക്രിയയാണ്. ഈ പാഠത്തിൽ, നാം ഈ പ്രക്രിയയെ വിശദീകരിക്കുകയും നിങ്ങൾ അറിയേണ്ട പ്രധാന സാങ്കേതിക വിദ്യകൾ രേഖപ്പെടുത്തുകയും ചെയ്യും. നിങ്ങൾക്ക്: diff --git a/translations/ml/1-Introduction/4-techniques-of-ML/assignment.md b/translations/ml/1-Introduction/4-techniques-of-ML/assignment.md index d893cedf6..d1296a0c6 100644 --- a/translations/ml/1-Introduction/4-techniques-of-ML/assignment.md +++ b/translations/ml/1-Introduction/4-techniques-of-ML/assignment.md @@ -1,12 +1,3 @@ - # ഒരു ഡാറ്റ സയന്റിസ്റ്റിനെ അഭിമുഖം ## നിർദ്ദേശങ്ങൾ diff --git a/translations/ml/1-Introduction/README.md b/translations/ml/1-Introduction/README.md index db95b1c23..154fa5dda 100644 --- a/translations/ml/1-Introduction/README.md +++ b/translations/ml/1-Introduction/README.md @@ -1,12 +1,3 @@ - # മെഷീൻ ലേണിങ്ങിലേക്ക് പരിചയം പാഠ്യപദ്ധതിയുടെ ഈ ഭാഗത്തിൽ, മെഷീൻ ലേണിങ്ങ് എന്ന മേഖലയെ അടിസ്ഥാനമാക്കിയുള്ള ആശയങ്ങൾ, അതെന്താണെന്ന്, അതിന്റെ ചരിത്രം, ഗവേഷകർ അതുമായി പ്രവർത്തിക്കാൻ ഉപയോഗിക്കുന്ന സാങ്കേതിക വിദ്യകൾ എന്നിവയെക്കുറിച്ച് നിങ്ങൾക്ക് പരിചയപ്പെടുത്തും. ഈ പുതിയ ML ലോകത്തെ നമുക്ക് ഒരുമിച്ച് അന്വേഷിക്കാം! diff --git a/translations/ml/2-Regression/1-Tools/README.md b/translations/ml/2-Regression/1-Tools/README.md index 6f4dd9f80..83e5196be 100644 --- a/translations/ml/2-Regression/1-Tools/README.md +++ b/translations/ml/2-Regression/1-Tools/README.md @@ -1,12 +1,3 @@ - # Python ഉം Scikit-learn ഉം ഉപയോഗിച്ച് regression മോഡലുകൾ ആരംഭിക്കുക ![Summary of regressions in a sketchnote](../../../../translated_images/ml/ml-regression.4e4f70e3b3ed446e.webp) diff --git a/translations/ml/2-Regression/1-Tools/assignment.md b/translations/ml/2-Regression/1-Tools/assignment.md index 55f437dac..baa76fd9e 100644 --- a/translations/ml/2-Regression/1-Tools/assignment.md +++ b/translations/ml/2-Regression/1-Tools/assignment.md @@ -1,12 +1,3 @@ - # Scikit-learn ഉപയോഗിച്ച് റിഗ്രഷൻ ## നിർദ്ദേശങ്ങൾ diff --git a/translations/ml/2-Regression/1-Tools/solution/Julia/README.md b/translations/ml/2-Regression/1-Tools/solution/Julia/README.md index ef1ff7111..e8d9645d5 100644 --- a/translations/ml/2-Regression/1-Tools/solution/Julia/README.md +++ b/translations/ml/2-Regression/1-Tools/solution/Julia/README.md @@ -1,12 +1,3 @@ - ഇത് താൽക്കാലിക പ്ലേസ്ഹോൾഡറാണ് --- diff --git a/translations/ml/2-Regression/2-Data/README.md b/translations/ml/2-Regression/2-Data/README.md index 561992568..6cd77b971 100644 --- a/translations/ml/2-Regression/2-Data/README.md +++ b/translations/ml/2-Regression/2-Data/README.md @@ -1,12 +1,3 @@ - # Scikit-learn ഉപയോഗിച്ച് ഒരു റെഗ്രഷൻ മോഡൽ നിർമ്മിക്കുക: ഡാറ്റ തയ്യാറാക്കൽ மற்றும் ദൃശ്യവൽക്കരണം ![ഡാറ്റ ദൃശ്യവൽക്കരണ ഇൻഫോഗ്രാഫിക്](../../../../translated_images/ml/data-visualization.54e56dded7c1a804.webp) diff --git a/translations/ml/2-Regression/2-Data/assignment.md b/translations/ml/2-Regression/2-Data/assignment.md index 8419ea91d..db370ba81 100644 --- a/translations/ml/2-Regression/2-Data/assignment.md +++ b/translations/ml/2-Regression/2-Data/assignment.md @@ -1,12 +1,3 @@ - # ദൃശ്യവത്കരണങ്ങൾ അന്വേഷിക്കൽ ഡാറ്റാ ദൃശ്യവത്കരണത്തിനായി ലഭ്യമായ വിവിധ ലൈബ്രറികൾ ഉണ്ട്. matplotlib, seaborn എന്നിവ ഉപയോഗിച്ച് ഈ പാഠത്തിലെ Pumpkin ഡാറ്റ ഉപയോഗിച്ച് ചില ദൃശ്യവത്കരണങ്ങൾ ഒരു സാമ്പിൾ നോട്ട്‌ബുക്കിൽ സൃഷ്ടിക്കുക. ഏത് ലൈബ്രറികൾ ഉപയോഗിക്കാൻ എളുപ്പമാണ്? diff --git a/translations/ml/2-Regression/2-Data/solution/Julia/README.md b/translations/ml/2-Regression/2-Data/solution/Julia/README.md index 63a1518d4..2bff4030b 100644 --- a/translations/ml/2-Regression/2-Data/solution/Julia/README.md +++ b/translations/ml/2-Regression/2-Data/solution/Julia/README.md @@ -1,12 +1,3 @@ - ഇത് ഒരു താൽക്കാലിക പ്ലേസ്ഹോൾഡറാണ് --- diff --git a/translations/ml/2-Regression/3-Linear/README.md b/translations/ml/2-Regression/3-Linear/README.md index 850120ccf..b46005c97 100644 --- a/translations/ml/2-Regression/3-Linear/README.md +++ b/translations/ml/2-Regression/3-Linear/README.md @@ -1,12 +1,3 @@ - # Scikit-learn ഉപയോഗിച്ച് ഒരു റെഗ്രഷൻ മോഡൽ നിർമ്മിക്കുക: റെഗ്രഷൻ നാല് രീതികൾ ![Linear vs polynomial regression infographic](../../../../translated_images/ml/linear-polynomial.5523c7cb6576ccab.webp) diff --git a/translations/ml/2-Regression/3-Linear/assignment.md b/translations/ml/2-Regression/3-Linear/assignment.md index 0d9aadf12..5c134a174 100644 --- a/translations/ml/2-Regression/3-Linear/assignment.md +++ b/translations/ml/2-Regression/3-Linear/assignment.md @@ -1,12 +1,3 @@ - # ഒരു റെഗ്രഷൻ മോഡൽ സൃഷ്ടിക്കുക ## നിർദ്ദേശങ്ങൾ diff --git a/translations/ml/2-Regression/3-Linear/solution/Julia/README.md b/translations/ml/2-Regression/3-Linear/solution/Julia/README.md index 0539c7e74..bf4ac060b 100644 --- a/translations/ml/2-Regression/3-Linear/solution/Julia/README.md +++ b/translations/ml/2-Regression/3-Linear/solution/Julia/README.md @@ -1,12 +1,3 @@ - ഇത് ഒരു താൽക്കാലിക പ്ലേസ്ഹോൾഡർ ആണ് --- diff --git a/translations/ml/2-Regression/4-Logistic/README.md b/translations/ml/2-Regression/4-Logistic/README.md index eeb3eff3b..47f54bd5b 100644 --- a/translations/ml/2-Regression/4-Logistic/README.md +++ b/translations/ml/2-Regression/4-Logistic/README.md @@ -1,12 +1,3 @@ - # വിഭാഗങ്ങൾ പ്രവചിക്കാൻ ലോജിസ്റ്റിക് റെഗ്രഷൻ ![Logistic vs. linear regression infographic](../../../../translated_images/ml/linear-vs-logistic.ba180bf95e7ee667.webp) diff --git a/translations/ml/2-Regression/4-Logistic/assignment.md b/translations/ml/2-Regression/4-Logistic/assignment.md index f36a141ad..f3daf2417 100644 --- a/translations/ml/2-Regression/4-Logistic/assignment.md +++ b/translations/ml/2-Regression/4-Logistic/assignment.md @@ -1,12 +1,3 @@ - # ചില Regression വീണ്ടും ശ്രമിക്കുന്നു ## നിർദ്ദേശങ്ങൾ diff --git a/translations/ml/2-Regression/4-Logistic/solution/Julia/README.md b/translations/ml/2-Regression/4-Logistic/solution/Julia/README.md index af0595115..26c469a1e 100644 --- a/translations/ml/2-Regression/4-Logistic/solution/Julia/README.md +++ b/translations/ml/2-Regression/4-Logistic/solution/Julia/README.md @@ -1,12 +1,3 @@ - ഇത് ഒരു താൽക്കാലിക പ്ലേസ്ഹോൾഡർ ആണ് --- diff --git a/translations/ml/2-Regression/README.md b/translations/ml/2-Regression/README.md index c9a6dda16..3df9f6b6b 100644 --- a/translations/ml/2-Regression/README.md +++ b/translations/ml/2-Regression/README.md @@ -1,12 +1,3 @@ - # മെഷീൻ ലേണിംഗിനുള്ള റെഗ്രഷൻ മോഡലുകൾ ## പ്രാദേശിക വിഷയം: നോർത്ത് അമേരിക്കയിലെ പംപ്കിൻ വിലകൾക്കുള്ള റെഗ്രഷൻ മോഡലുകൾ 🎃 diff --git a/translations/ml/3-Web-App/1-Web-App/README.md b/translations/ml/3-Web-App/1-Web-App/README.md index fed25d0dc..99d78f8e6 100644 --- a/translations/ml/3-Web-App/1-Web-App/README.md +++ b/translations/ml/3-Web-App/1-Web-App/README.md @@ -1,12 +1,3 @@ - # ML മോഡൽ ഉപയോഗിച്ച് ഒരു വെബ് ആപ്പ് നിർമ്മിക്കുക ഈ പാഠത്തിൽ, നിങ്ങൾ ഒരു ഡാറ്റാ സെറ്റിൽ ML മോഡൽ പരിശീലിപ്പിക്കും, അത് ഈ ലോകത്തിന് പുറത്തുള്ളതാണ്: _കഴിഞ്ഞ നൂറ്റാണ്ടിലെ UFO ദൃശ്യങ്ങൾ_, NUFORC-യുടെ ഡാറ്റാബേസിൽ നിന്നുള്ളത്. diff --git a/translations/ml/3-Web-App/1-Web-App/assignment.md b/translations/ml/3-Web-App/1-Web-App/assignment.md index 294dd4d7d..043be5ab8 100644 --- a/translations/ml/3-Web-App/1-Web-App/assignment.md +++ b/translations/ml/3-Web-App/1-Web-App/assignment.md @@ -1,12 +1,3 @@ - # വ്യത്യസ്തമായ ഒരു മോഡൽ പരീക്ഷിക്കുക ## നിർദ്ദേശങ്ങൾ diff --git a/translations/ml/3-Web-App/README.md b/translations/ml/3-Web-App/README.md index 65700e258..a471531df 100644 --- a/translations/ml/3-Web-App/README.md +++ b/translations/ml/3-Web-App/README.md @@ -1,12 +1,3 @@ - # നിങ്ങളുടെ ML മോഡൽ ഉപയോഗിക്കാൻ ഒരു വെബ് ആപ്പ് നിർമ്മിക്കുക പാഠ്യപദ്ധതിയുടെ ഈ ഭാഗത്തിൽ, നിങ്ങൾക്ക് പ്രയോഗാത്മകമായ ഒരു ML വിഷയം പരിചയപ്പെടുത്തും: നിങ്ങളുടെ Scikit-learn മോഡൽ ഫയലായി സേവ് ചെയ്യുന്നത്, അത് വെബ് ആപ്ലിക്കേഷനിൽ പ്രവചനങ്ങൾ നടത്താൻ ഉപയോഗിക്കാവുന്നതാണ്. മോഡൽ സേവ് ചെയ്ത ശേഷം, Flask-ൽ നിർമ്മിച്ച ഒരു വെബ് ആപ്പിൽ അത് എങ്ങനെ ഉപയോഗിക്കാമെന്ന് നിങ്ങൾ പഠിക്കും. ആദ്യം, UFO കാണപ്പെട്ടതുമായി ബന്ധപ്പെട്ട ചില ഡാറ്റ ഉപയോഗിച്ച് ഒരു മോഡൽ നിങ്ങൾ സൃഷ്ടിക്കും! പിന്നീട്, ഒരു വെബ് ആപ്പ് നിർമ്മിക്കും, അതിലൂടെ നിങ്ങൾ സെക്കൻഡുകളുടെ എണ്ണം, അക്ഷാംശവും രേഖാംശവും നൽകുമ്പോൾ ഏത് രാജ്യമാണ് UFO കണ്ടതായി റിപ്പോർട്ട് ചെയ്തതെന്ന് പ്രവചിക്കാനാകും. diff --git a/translations/ml/4-Classification/1-Introduction/README.md b/translations/ml/4-Classification/1-Introduction/README.md index 0e87d1fa7..f4125780b 100644 --- a/translations/ml/4-Classification/1-Introduction/README.md +++ b/translations/ml/4-Classification/1-Introduction/README.md @@ -1,12 +1,3 @@ - # വർഗ്ഗീകരണത്തിന് പരിചയം ഈ നാല് പാഠങ്ങളിൽ, നിങ്ങൾ ക്ലാസിക് മെഷീൻ ലേണിങ്ങിന്റെ ഒരു അടിസ്ഥാന ശ്രദ്ധാകേന്ദ്രമായ _വർഗ്ഗീകരണം_ അന്വേഷിക്കും. ഏഷ്യയും ഇന്ത്യയും ഉൾപ്പെടുന്ന എല്ലാ പ്രശസ്തമായ പാചകശാലകളെക്കുറിച്ചുള്ള ഒരു ഡാറ്റാസെറ്റുമായി വിവിധ വർഗ്ഗീകരണ ആൽഗോരിതങ്ങൾ ഉപയോഗിച്ച് നാം നടക്കും. നിങ്ങൾക്ക് വിശക്കുമെന്നാണ് പ്രതീക്ഷ! diff --git a/translations/ml/4-Classification/1-Introduction/assignment.md b/translations/ml/4-Classification/1-Introduction/assignment.md index c842eea24..cebe448f2 100644 --- a/translations/ml/4-Classification/1-Introduction/assignment.md +++ b/translations/ml/4-Classification/1-Introduction/assignment.md @@ -1,12 +1,3 @@ - # വർഗ്ഗീകരണ രീതികൾ അന്വേഷിക്കുക ## നിർദ്ദേശങ്ങൾ diff --git a/translations/ml/4-Classification/1-Introduction/solution/Julia/README.md b/translations/ml/4-Classification/1-Introduction/solution/Julia/README.md index 670acc96c..d62d5624a 100644 --- a/translations/ml/4-Classification/1-Introduction/solution/Julia/README.md +++ b/translations/ml/4-Classification/1-Introduction/solution/Julia/README.md @@ -1,12 +1,3 @@ - ഇത് ഒരു താൽക്കാലിക പ്ലേസ്ഹോൾഡർ ആണ് --- diff --git a/translations/ml/4-Classification/2-Classifiers-1/README.md b/translations/ml/4-Classification/2-Classifiers-1/README.md index f2bb6ca5a..a1d650d97 100644 --- a/translations/ml/4-Classification/2-Classifiers-1/README.md +++ b/translations/ml/4-Classification/2-Classifiers-1/README.md @@ -1,12 +1,3 @@ - # ഭക്ഷണശൈലി ക്ലാസിഫയർമാർ 1 ഈ പാഠത്തിൽ, നിങ്ങൾ കഴിഞ്ഞ പാഠത്തിൽ നിന്ന് സംരക്ഷിച്ച, ഭക്ഷണശൈലികളെക്കുറിച്ചുള്ള സമതുലിതവും ശുദ്ധവുമായ ഡാറ്റയുള്ള ഡാറ്റാസെറ്റ് ഉപയോഗിക്കും. diff --git a/translations/ml/4-Classification/2-Classifiers-1/assignment.md b/translations/ml/4-Classification/2-Classifiers-1/assignment.md index 065cb2f2e..e8611197b 100644 --- a/translations/ml/4-Classification/2-Classifiers-1/assignment.md +++ b/translations/ml/4-Classification/2-Classifiers-1/assignment.md @@ -1,12 +1,3 @@ - # സോൾവറുകൾ പഠിക്കുക ## നിർദ്ദേശങ്ങൾ diff --git a/translations/ml/4-Classification/2-Classifiers-1/solution/Julia/README.md b/translations/ml/4-Classification/2-Classifiers-1/solution/Julia/README.md index 952f282a5..d62d5624a 100644 --- a/translations/ml/4-Classification/2-Classifiers-1/solution/Julia/README.md +++ b/translations/ml/4-Classification/2-Classifiers-1/solution/Julia/README.md @@ -1,12 +1,3 @@ - ഇത് ഒരു താൽക്കാലിക പ്ലേസ്ഹോൾഡർ ആണ് --- diff --git a/translations/ml/4-Classification/3-Classifiers-2/README.md b/translations/ml/4-Classification/3-Classifiers-2/README.md index e3401a6ae..190e12695 100644 --- a/translations/ml/4-Classification/3-Classifiers-2/README.md +++ b/translations/ml/4-Classification/3-Classifiers-2/README.md @@ -1,12 +1,3 @@ - # ഭക്ഷണശൈലി വർഗ്ഗീകരണങ്ങൾ 2 ഈ രണ്ടാം വർഗ്ഗീകരണ പാഠത്തിൽ, നിങ്ങൾ സംഖ്യാത്മക ഡാറ്റ വർഗ്ഗീകരിക്കുന്ന കൂടുതൽ മാർഗങ്ങൾ അന്വേഷിക്കും. മറ്റൊരു വർഗ്ഗീകരണ ഉപാധി തിരഞ്ഞെടുക്കുന്നതിന്റെ ഫലങ്ങൾക്കുറിച്ചും നിങ്ങൾ പഠിക്കും. diff --git a/translations/ml/4-Classification/3-Classifiers-2/assignment.md b/translations/ml/4-Classification/3-Classifiers-2/assignment.md index a83097baa..07f3b08be 100644 --- a/translations/ml/4-Classification/3-Classifiers-2/assignment.md +++ b/translations/ml/4-Classification/3-Classifiers-2/assignment.md @@ -1,12 +1,3 @@ - # പാരാമീറ്റർ പ്ലേ ## നിർദ്ദേശങ്ങൾ diff --git a/translations/ml/4-Classification/3-Classifiers-2/solution/Julia/README.md b/translations/ml/4-Classification/3-Classifiers-2/solution/Julia/README.md index cdb5dd2aa..2fb72b02c 100644 --- a/translations/ml/4-Classification/3-Classifiers-2/solution/Julia/README.md +++ b/translations/ml/4-Classification/3-Classifiers-2/solution/Julia/README.md @@ -1,12 +1,3 @@ - ഇത് ഒരു താൽക്കാലിക പ്ലേസ്ഹോൾഡർ ആണ് --- diff --git a/translations/ml/4-Classification/4-Applied/README.md b/translations/ml/4-Classification/4-Applied/README.md index 680f1964f..5e85dd586 100644 --- a/translations/ml/4-Classification/4-Applied/README.md +++ b/translations/ml/4-Classification/4-Applied/README.md @@ -1,12 +1,3 @@ - # ഒരു ക്യൂസീൻ ശുപാർശ വെബ് ആപ്പ് നിർമ്മിക്കുക ഈ പാഠത്തിൽ, നിങ്ങൾ മുമ്പത്തെ പാഠങ്ങളിൽ പഠിച്ച ചില സാങ്കേതിക വിദ്യകൾ ഉപയോഗിച്ച് ക്ലാസിഫിക്കേഷൻ മോഡൽ നിർമ്മിക്കുകയും ഈ പരമ്പരയിൽ മുഴുവൻ ഉപയോഗിച്ച രുചികരമായ ക്യൂസീൻ ഡാറ്റാസെറ്റ് ഉപയോഗിച്ച് അത് നിർമിക്കുകയും ചെയ്യും. കൂടാതെ, Onnx-ന്റെ വെബ് റൺടൈം ഉപയോഗിച്ച് സേവ് ചെയ്ത മോഡൽ ഉപയോഗിക്കുന്ന ഒരു ചെറിയ വെബ് ആപ്പ് നിർമ്മിക്കും. diff --git a/translations/ml/4-Classification/4-Applied/assignment.md b/translations/ml/4-Classification/4-Applied/assignment.md index 814fed4ba..12696ebd7 100644 --- a/translations/ml/4-Classification/4-Applied/assignment.md +++ b/translations/ml/4-Classification/4-Applied/assignment.md @@ -1,12 +1,3 @@ - # ഒരു ശുപാർശയിടുന്ന സംവിധാനം നിർമ്മിക്കുക ## നിർദ്ദേശങ്ങൾ diff --git a/translations/ml/4-Classification/README.md b/translations/ml/4-Classification/README.md index 254e2e23b..fa720bbe2 100644 --- a/translations/ml/4-Classification/README.md +++ b/translations/ml/4-Classification/README.md @@ -1,12 +1,3 @@ - # വർഗ്ഗീകരണവുമായി ആരംഭിക്കുന്നത് ## പ്രാദേശിക വിഷയം: രുചികരമായ ഏഷ്യൻ, ഇന്ത്യൻ ഭക്ഷണങ്ങൾ 🍜 diff --git a/translations/ml/5-Clustering/1-Visualize/README.md b/translations/ml/5-Clustering/1-Visualize/README.md index a30999912..90153454e 100644 --- a/translations/ml/5-Clustering/1-Visualize/README.md +++ b/translations/ml/5-Clustering/1-Visualize/README.md @@ -1,12 +1,3 @@ - # ക്ലസ്റ്ററിംഗിലേക്ക് പരിചയം ക്ലസ്റ്ററിംഗ് ഒരു തരത്തിലുള്ള [Unsupervised Learning](https://wikipedia.org/wiki/Unsupervised_learning) ആണ്, ഇത് ഒരു ഡാറ്റാസെറ്റ് ലേബൽ ചെയ്യപ്പെടാത്തതാണെന്ന് അല്ലെങ്കിൽ അതിന്റെ ഇൻപുട്ടുകൾ മുൻകൂട്ടി നിർവചിച്ച ഔട്ട്പുട്ടുകളുമായി പൊരുത്തപ്പെടാത്തതാണെന്ന് കരുതുന്നു. ഇത് ലേബൽ ചെയ്യപ്പെടാത്ത ഡാറ്റയിൽ നിന്നു വിവിധ ആൽഗോരിതങ്ങൾ ഉപയോഗിച്ച് ഡാറ്റയിൽ കാണുന്ന പാറ്റേണുകൾ അനുസരിച്ച് ഗ്രൂപ്പുകൾ നൽകുന്നു. diff --git a/translations/ml/5-Clustering/1-Visualize/assignment.md b/translations/ml/5-Clustering/1-Visualize/assignment.md index df6d86098..743078c6f 100644 --- a/translations/ml/5-Clustering/1-Visualize/assignment.md +++ b/translations/ml/5-Clustering/1-Visualize/assignment.md @@ -1,12 +1,3 @@ - # ക്ലസ്റ്ററിംഗിനായി മറ്റ് ദൃശ്യവത്കരണങ്ങൾ ഗവേഷണം ചെയ്യുക ## നിർദ്ദേശങ്ങൾ diff --git a/translations/ml/5-Clustering/1-Visualize/solution/Julia/README.md b/translations/ml/5-Clustering/1-Visualize/solution/Julia/README.md index 8817bc113..d1f76f53a 100644 --- a/translations/ml/5-Clustering/1-Visualize/solution/Julia/README.md +++ b/translations/ml/5-Clustering/1-Visualize/solution/Julia/README.md @@ -1,12 +1,3 @@ - ഇത് ഒരു താൽക്കാലിക പ്ലേസ്ഹോൾഡറാണ് --- diff --git a/translations/ml/5-Clustering/2-K-Means/README.md b/translations/ml/5-Clustering/2-K-Means/README.md index 9a573c036..1df1c1ba9 100644 --- a/translations/ml/5-Clustering/2-K-Means/README.md +++ b/translations/ml/5-Clustering/2-K-Means/README.md @@ -1,12 +1,3 @@ - # K-മീൻസ് ക്ലസ്റ്ററിംഗ് ## [പ്രീ-ലെക്ചർ ക്വിസ്](https://ff-quizzes.netlify.app/en/ml/) diff --git a/translations/ml/5-Clustering/2-K-Means/assignment.md b/translations/ml/5-Clustering/2-K-Means/assignment.md index 04f05dfb9..f2cadf014 100644 --- a/translations/ml/5-Clustering/2-K-Means/assignment.md +++ b/translations/ml/5-Clustering/2-K-Means/assignment.md @@ -1,12 +1,3 @@ - # വ്യത്യസ്ത ക്ലസ്റ്ററിംഗ് രീതികൾ പരീക്ഷിക്കുക ## നിർദ്ദേശങ്ങൾ diff --git a/translations/ml/5-Clustering/2-K-Means/solution/Julia/README.md b/translations/ml/5-Clustering/2-K-Means/solution/Julia/README.md index 9d122b6d4..26c469a1e 100644 --- a/translations/ml/5-Clustering/2-K-Means/solution/Julia/README.md +++ b/translations/ml/5-Clustering/2-K-Means/solution/Julia/README.md @@ -1,12 +1,3 @@ - ഇത് ഒരു താൽക്കാലിക പ്ലേസ്ഹോൾഡർ ആണ് --- diff --git a/translations/ml/5-Clustering/README.md b/translations/ml/5-Clustering/README.md index e344e0b7f..6b38fe4fa 100644 --- a/translations/ml/5-Clustering/README.md +++ b/translations/ml/5-Clustering/README.md @@ -1,12 +1,3 @@ - # മെഷീൻ ലേണിംഗിനുള്ള ക്ലസ്റ്ററിംഗ് മോഡലുകൾ ക്ലസ്റ്ററിംഗ് എന്നത് മെഷീൻ ലേണിംഗ് ടാസ്കാണ്, ഇതിൽ പരസ്പരം സമാനമായ വസ്തുക്കളെ കണ്ടെത്തി അവയെ ക്ലസ്റ്ററുകൾ എന്നറിയപ്പെടുന്ന ഗ്രൂപ്പുകളായി കൂട്ടിച്ചേർക്കാൻ ശ്രമിക്കുന്നു. മെഷീൻ ലേണിംഗിലെ മറ്റ് സമീപനങ്ങളിൽ നിന്ന് ക്ലസ്റ്ററിംഗ് വ്യത്യസ്തമാകുന്നത്, കാര്യങ്ങൾ സ്വയം സംഭവിക്കുന്നതാണ്, വാസ്തവത്തിൽ, ഇത് സൂപ്പർവൈസ്ഡ് ലേണിംഗിന്റെ എതിര്‍ഭാഗമാണെന്ന് പറയാം. diff --git a/translations/ml/6-NLP/1-Introduction-to-NLP/README.md b/translations/ml/6-NLP/1-Introduction-to-NLP/README.md index 2792cb38c..8b98e5f06 100644 --- a/translations/ml/6-NLP/1-Introduction-to-NLP/README.md +++ b/translations/ml/6-NLP/1-Introduction-to-NLP/README.md @@ -1,12 +1,3 @@ - # സ്വാഭാവിക ഭാഷാ പ്രോസസ്സിംഗിലേക്ക് പരിചയം ഈ പാഠം *സ്വാഭാവിക ഭാഷാ പ്രോസസ്സിംഗ്* എന്ന *കമ്പ്യൂട്ടേഷണൽ ലിംഗ്വിസ്റ്റിക്സ്* എന്ന ഉപവിഭാഗത്തിന്റെ ഒരു സംക്ഷിപ്ത ചരിത്രവും പ്രധാന ആശയങ്ങളും ഉൾക്കൊള്ളുന്നു. diff --git a/translations/ml/6-NLP/1-Introduction-to-NLP/assignment.md b/translations/ml/6-NLP/1-Introduction-to-NLP/assignment.md index 57f04f6ea..3914a52b3 100644 --- a/translations/ml/6-NLP/1-Introduction-to-NLP/assignment.md +++ b/translations/ml/6-NLP/1-Introduction-to-NLP/assignment.md @@ -1,12 +1,3 @@ - # ഒരു ബോട്ട് കണ്ടെത്തുക ## നിർദ്ദേശങ്ങൾ diff --git a/translations/ml/6-NLP/2-Tasks/README.md b/translations/ml/6-NLP/2-Tasks/README.md index c99905034..4fd543737 100644 --- a/translations/ml/6-NLP/2-Tasks/README.md +++ b/translations/ml/6-NLP/2-Tasks/README.md @@ -1,12 +1,3 @@ - # സാധാരണ സ്വാഭാവിക ഭാഷാ പ്രോസസ്സിംഗ് ടാസ്കുകളും സാങ്കേതിക വിദ്യകളും മിക്കവാറും *സ്വാഭാവിക ഭാഷാ പ്രോസസ്സിംഗ്* ടാസ്കുകൾക്കായി, പ്രോസസ്സ് ചെയ്യേണ്ട ടെക്സ്റ്റ് വിഭജിച്ച്, പരിശോധിച്ച്, ഫലങ്ങൾ നിയമങ്ങളുമായി ഡാറ്റാ സെറ്റുകളുമായി ക്രോസ് റഫറൻസ് ചെയ്യണം. ഈ ടാസ്കുകൾ പ്രോഗ്രാമറിന് ടെക്സ്റ്റിലെ _അർത്ഥം_ അല്ലെങ്കിൽ _ഉദ്ദേശ്യം_ അല്ലെങ്കിൽ വെറും _പരിഭാഷയുടെ ആവൃത്തി_ കണ്ടെത്താൻ സഹായിക്കുന്നു. diff --git a/translations/ml/6-NLP/2-Tasks/assignment.md b/translations/ml/6-NLP/2-Tasks/assignment.md index 8a3cb1d09..832cd4aee 100644 --- a/translations/ml/6-NLP/2-Tasks/assignment.md +++ b/translations/ml/6-NLP/2-Tasks/assignment.md @@ -1,12 +1,3 @@ - # ഒരു ബോട്ട് മറുപടി പറയിക്കുക ## നിർദ്ദേശങ്ങൾ diff --git a/translations/ml/6-NLP/3-Translation-Sentiment/README.md b/translations/ml/6-NLP/3-Translation-Sentiment/README.md index 3bdb7aa6f..4ddf281f0 100644 --- a/translations/ml/6-NLP/3-Translation-Sentiment/README.md +++ b/translations/ml/6-NLP/3-Translation-Sentiment/README.md @@ -1,12 +1,3 @@ - # ML ഉപയോഗിച്ച് വിവർത്തനവും മനോഭാവ വിശകലനവും മുൻപത്തെ പാഠങ്ങളിൽ നിങ്ങൾ `TextBlob` ഉപയോഗിച്ച് ഒരു അടിസ്ഥാന ബോട്ട് എങ്ങനെ നിർമ്മിക്കാമെന്ന് പഠിച്ചു, ഇത് നൗൺ ഫ്രേസ് എക്സ്ട്രാക്ഷൻ പോലുള്ള അടിസ്ഥാന NLP പ്രവർത്തനങ്ങൾ നടത്താൻ ML പിന്നിൽ ഉൾപ്പെടുത്തിയ ഒരു ലൈബ്രറിയാണ്. കംപ്യൂട്ടേഷണൽ ലിംഗ്വിസ്റ്റിക്സിലെ മറ്റൊരു പ്രധാന വെല്ലുവിളി ഒരു സംസാരിച്ചോ എഴുതിയോ ഭാഷയിൽ നിന്നു മറ്റൊരു ഭാഷയിലേക്ക് വാചകത്തിന്റെ കൃത്യമായ _വിവർത്തനം_ ആണ്. diff --git a/translations/ml/6-NLP/3-Translation-Sentiment/assignment.md b/translations/ml/6-NLP/3-Translation-Sentiment/assignment.md index a62bb610b..24b02163a 100644 --- a/translations/ml/6-NLP/3-Translation-Sentiment/assignment.md +++ b/translations/ml/6-NLP/3-Translation-Sentiment/assignment.md @@ -1,12 +1,3 @@ - # കവിതാ ലൈസൻസ് ## നിർദ്ദേശങ്ങൾ diff --git a/translations/ml/6-NLP/3-Translation-Sentiment/solution/Julia/README.md b/translations/ml/6-NLP/3-Translation-Sentiment/solution/Julia/README.md index 5cdb5b03e..fc77d193e 100644 --- a/translations/ml/6-NLP/3-Translation-Sentiment/solution/Julia/README.md +++ b/translations/ml/6-NLP/3-Translation-Sentiment/solution/Julia/README.md @@ -1,12 +1,3 @@ - ഇത് ഒരു താൽക്കാലിക പ്ലേസ്ഹോൾഡറാണ് --- diff --git a/translations/ml/6-NLP/3-Translation-Sentiment/solution/R/README.md b/translations/ml/6-NLP/3-Translation-Sentiment/solution/R/README.md index 2295477cd..d62d5624a 100644 --- a/translations/ml/6-NLP/3-Translation-Sentiment/solution/R/README.md +++ b/translations/ml/6-NLP/3-Translation-Sentiment/solution/R/README.md @@ -1,12 +1,3 @@ - ഇത് ഒരു താൽക്കാലിക പ്ലേസ്ഹോൾഡർ ആണ് --- diff --git a/translations/ml/6-NLP/4-Hotel-Reviews-1/README.md b/translations/ml/6-NLP/4-Hotel-Reviews-1/README.md index 30a0d8925..65a10bd6a 100644 --- a/translations/ml/6-NLP/4-Hotel-Reviews-1/README.md +++ b/translations/ml/6-NLP/4-Hotel-Reviews-1/README.md @@ -1,12 +1,3 @@ - # ഹോട്ടൽ റിവ്യൂവുകളുമായി സെന്റിമെന്റ് വിശകലനം - ഡാറ്റ പ്രോസസ്സ് ചെയ്യൽ ഈ വിഭാഗത്തിൽ നിങ്ങൾ മുമ്പത്തെ പാഠങ്ങളിൽ ഉപയോഗിച്ച സാങ്കേതിക വിദ്യകൾ ഉപയോഗിച്ച് ഒരു വലിയ ഡാറ്റാസെറ്റിന്റെ എക്സ്പ്ലോറട്ടറി ഡാറ്റ അനാലിസിസ് നടത്തും. വിവിധ കോളങ്ങളുടെയും പ്രയോജനത്തെക്കുറിച്ച് നല്ലൊരു ബോധം ലഭിച്ച ശേഷം, നിങ്ങൾ പഠിക്കും: diff --git a/translations/ml/6-NLP/4-Hotel-Reviews-1/assignment.md b/translations/ml/6-NLP/4-Hotel-Reviews-1/assignment.md index 4f6081fb7..3cc0e8c6b 100644 --- a/translations/ml/6-NLP/4-Hotel-Reviews-1/assignment.md +++ b/translations/ml/6-NLP/4-Hotel-Reviews-1/assignment.md @@ -1,12 +1,3 @@ - # NLTK ## നിർദ്ദേശങ്ങൾ diff --git a/translations/ml/6-NLP/4-Hotel-Reviews-1/solution/Julia/README.md b/translations/ml/6-NLP/4-Hotel-Reviews-1/solution/Julia/README.md index 48401ea97..ee8754ee9 100644 --- a/translations/ml/6-NLP/4-Hotel-Reviews-1/solution/Julia/README.md +++ b/translations/ml/6-NLP/4-Hotel-Reviews-1/solution/Julia/README.md @@ -1,12 +1,3 @@ - ഇത് ഒരു താൽക്കാലിക പ്ലേസ്‌ഹോൾഡറാണ് --- diff --git a/translations/ml/6-NLP/4-Hotel-Reviews-1/solution/R/README.md b/translations/ml/6-NLP/4-Hotel-Reviews-1/solution/R/README.md index 363d4dc97..e0457be90 100644 --- a/translations/ml/6-NLP/4-Hotel-Reviews-1/solution/R/README.md +++ b/translations/ml/6-NLP/4-Hotel-Reviews-1/solution/R/README.md @@ -1,12 +1,3 @@ - ഇത് ഒരു താൽക്കാലിക പ്ലേസ്ഹോൾഡറാണ് --- diff --git a/translations/ml/6-NLP/5-Hotel-Reviews-2/README.md b/translations/ml/6-NLP/5-Hotel-Reviews-2/README.md index 8fa0f59a0..3e5eaff42 100644 --- a/translations/ml/6-NLP/5-Hotel-Reviews-2/README.md +++ b/translations/ml/6-NLP/5-Hotel-Reviews-2/README.md @@ -1,12 +1,3 @@ - # ഹോട്ടൽ റിവ്യൂകളുമായി അനുഭവം വിശകലനം ഇപ്പോൾ നിങ്ങൾ ഡാറ്റാസെറ്റ് വിശദമായി പരിശോധിച്ചിരിക്കുന്നു, കോളങ്ങൾ ഫിൽട്ടർ ചെയ്ത് പിന്നീട് ഡാറ്റാസെറ്റിൽ NLP സാങ്കേതിക വിദ്യകൾ ഉപയോഗിച്ച് ഹോട്ടലുകളെക്കുറിച്ചുള്ള പുതിയ洞察ങ്ങൾ നേടാനുള്ള സമയം. diff --git a/translations/ml/6-NLP/5-Hotel-Reviews-2/assignment.md b/translations/ml/6-NLP/5-Hotel-Reviews-2/assignment.md index 45d73d511..c5c94ac5f 100644 --- a/translations/ml/6-NLP/5-Hotel-Reviews-2/assignment.md +++ b/translations/ml/6-NLP/5-Hotel-Reviews-2/assignment.md @@ -1,12 +1,3 @@ - # വ്യത്യസ്തമായ ഒരു ഡാറ്റാസെറ്റ് പരീക്ഷിക്കുക ## നിർദ്ദേശങ്ങൾ diff --git a/translations/ml/6-NLP/5-Hotel-Reviews-2/solution/Julia/README.md b/translations/ml/6-NLP/5-Hotel-Reviews-2/solution/Julia/README.md index 866dd61ed..f5e637f3c 100644 --- a/translations/ml/6-NLP/5-Hotel-Reviews-2/solution/Julia/README.md +++ b/translations/ml/6-NLP/5-Hotel-Reviews-2/solution/Julia/README.md @@ -1,12 +1,3 @@ - ഇത് ഒരു താൽക്കാലിക പ്ലേസ്ഹോൾഡറാണ് --- diff --git a/translations/ml/6-NLP/5-Hotel-Reviews-2/solution/R/README.md b/translations/ml/6-NLP/5-Hotel-Reviews-2/solution/R/README.md index 71237bb95..f5e637f3c 100644 --- a/translations/ml/6-NLP/5-Hotel-Reviews-2/solution/R/README.md +++ b/translations/ml/6-NLP/5-Hotel-Reviews-2/solution/R/README.md @@ -1,12 +1,3 @@ - ഇത് ഒരു താൽക്കാലിക പ്ലേസ്ഹോൾഡറാണ് --- diff --git a/translations/ml/6-NLP/README.md b/translations/ml/6-NLP/README.md index d4cf0edb0..c3995db38 100644 --- a/translations/ml/6-NLP/README.md +++ b/translations/ml/6-NLP/README.md @@ -1,12 +1,3 @@ - # സ്വാഭാവിക ഭാഷാ പ്രോസസ്സിങ്ങുമായി ആരംഭിക്കുക സ്വാഭാവിക ഭാഷാ പ്രോസസ്സിംഗ് (NLP) എന്നത് മനുഷ്യഭാഷ സംസാരിക്കപ്പെടുകയും എഴുതപ്പെടുകയും ചെയ്യുന്ന പ്രകൃതിദത്ത ഭാഷയെ ഒരു കമ്പ്യൂട്ടർ പ്രോഗ്രാം മനസ്സിലാക്കാനുള്ള കഴിവാണ്. ഇത് കൃത്രിമ ബുദ്ധിമുട്ടിന്റെ (AI) ഒരു ഘടകമാണ്. NLP 50 വർഷത്തിലധികം നിലനിൽക്കുന്നു, ഭാഷാശാസ്ത്ര മേഖലയിലെ വേരുകളുള്ളതാണ്. മുഴുവൻ മേഖലയും യന്ത്രങ്ങൾക്ക് മനുഷ്യഭാഷ മനസ്സിലാക്കാനും പ്രോസസ്സ് ചെയ്യാനും സഹായിക്കുന്നതിനാണ് ലക്ഷ്യമിടുന്നത്. ഇതുപയോഗിച്ച് സ്പെൽ ചെക്ക് ചെയ്യൽ അല്ലെങ്കിൽ യന്ത്രം വിവർത്തനം പോലുള്ള പ്രവർത്തനങ്ങൾ നടത്താം. മെഡിക്കൽ ഗവേഷണം, സെർച്ച് എഞ്ചിനുകൾ, ബിസിനസ് ഇന്റലിജൻസ് തുടങ്ങിയ നിരവധി മേഖലകളിൽ ഇതിന് വിവിധ യാഥാർത്ഥ്യ പ്രയോഗങ്ങൾ ഉണ്ട്. diff --git a/translations/ml/6-NLP/data/README.md b/translations/ml/6-NLP/data/README.md index 9e4e51223..1c96b7879 100644 --- a/translations/ml/6-NLP/data/README.md +++ b/translations/ml/6-NLP/data/README.md @@ -1,12 +1,3 @@ - ഈ ഫോൾഡറിലേക്ക് ഹോട്ടൽ റിവ്യൂ ഡാറ്റ ഡൗൺലോഡ് ചെയ്യുക. --- diff --git a/translations/ml/7-TimeSeries/1-Introduction/README.md b/translations/ml/7-TimeSeries/1-Introduction/README.md index 5f9e5e3e5..3a83a5f07 100644 --- a/translations/ml/7-TimeSeries/1-Introduction/README.md +++ b/translations/ml/7-TimeSeries/1-Introduction/README.md @@ -1,12 +1,3 @@ - # ടൈം സീരീസ് ഫോറ്കാസ്റ്റിംഗിലേക്ക് പരിചയം ![ടൈം സീരീസിന്റെ സംഗ്രഹം ഒരു സ്കെച്ച്നോട്ടിൽ](../../../../translated_images/ml/ml-timeseries.fb98d25f1013fc0c.webp) diff --git a/translations/ml/7-TimeSeries/1-Introduction/assignment.md b/translations/ml/7-TimeSeries/1-Introduction/assignment.md index 3eece809c..35aba99c6 100644 --- a/translations/ml/7-TimeSeries/1-Introduction/assignment.md +++ b/translations/ml/7-TimeSeries/1-Introduction/assignment.md @@ -1,12 +1,3 @@ - # കൂടുതൽ ടൈം സീരീസ് ദൃശ്യവത്കരിക്കുക ## നിർദ്ദേശങ്ങൾ diff --git a/translations/ml/7-TimeSeries/1-Introduction/solution/Julia/README.md b/translations/ml/7-TimeSeries/1-Introduction/solution/Julia/README.md index 5096258c3..e0457be90 100644 --- a/translations/ml/7-TimeSeries/1-Introduction/solution/Julia/README.md +++ b/translations/ml/7-TimeSeries/1-Introduction/solution/Julia/README.md @@ -1,12 +1,3 @@ - ഇത് ഒരു താൽക്കാലിക പ്ലേസ്ഹോൾഡറാണ് --- diff --git a/translations/ml/7-TimeSeries/1-Introduction/solution/R/README.md b/translations/ml/7-TimeSeries/1-Introduction/solution/R/README.md index 50dd19933..a135145da 100644 --- a/translations/ml/7-TimeSeries/1-Introduction/solution/R/README.md +++ b/translations/ml/7-TimeSeries/1-Introduction/solution/R/README.md @@ -1,12 +1,3 @@ - ഇത് ഒരു താൽക്കാലിക പ്ലേസ്‌ഹോൾഡറാണ് --- diff --git a/translations/ml/7-TimeSeries/2-ARIMA/README.md b/translations/ml/7-TimeSeries/2-ARIMA/README.md index 91713100e..64c0e087e 100644 --- a/translations/ml/7-TimeSeries/2-ARIMA/README.md +++ b/translations/ml/7-TimeSeries/2-ARIMA/README.md @@ -1,12 +1,3 @@ - # ARIMA ഉപയോഗിച്ച് ടൈം സീരീസ് പ്രവചനം മുൻപത്തെ പാഠത്തിൽ, നിങ്ങൾ ടൈം സീരീസ് പ്രവചനത്തെ കുറിച്ച് കുറച്ച് പഠിച്ചു, കൂടാതെ ഒരു സമയപരിധിയിൽ വൈദ്യുതി ലോഡിന്റെ ചലനങ്ങൾ കാണിക്കുന്ന ഒരു ഡാറ്റാസെറ്റ് ലോഡ് ചെയ്തു. diff --git a/translations/ml/7-TimeSeries/2-ARIMA/assignment.md b/translations/ml/7-TimeSeries/2-ARIMA/assignment.md index c142c6d94..1e72aae78 100644 --- a/translations/ml/7-TimeSeries/2-ARIMA/assignment.md +++ b/translations/ml/7-TimeSeries/2-ARIMA/assignment.md @@ -1,12 +1,3 @@ - # ഒരു പുതിയ ARIMA മോഡൽ ## നിർദ്ദേശങ്ങൾ diff --git a/translations/ml/7-TimeSeries/2-ARIMA/solution/Julia/README.md b/translations/ml/7-TimeSeries/2-ARIMA/solution/Julia/README.md index aacddeea7..75eff089d 100644 --- a/translations/ml/7-TimeSeries/2-ARIMA/solution/Julia/README.md +++ b/translations/ml/7-TimeSeries/2-ARIMA/solution/Julia/README.md @@ -1,12 +1,3 @@ - ഇത് ഒരു താൽക്കാലിക പ്ലേസ്ഹോൾഡർ ആണ് --- diff --git a/translations/ml/7-TimeSeries/2-ARIMA/solution/R/README.md b/translations/ml/7-TimeSeries/2-ARIMA/solution/R/README.md index 2c7c5885d..26c469a1e 100644 --- a/translations/ml/7-TimeSeries/2-ARIMA/solution/R/README.md +++ b/translations/ml/7-TimeSeries/2-ARIMA/solution/R/README.md @@ -1,12 +1,3 @@ - ഇത് ഒരു താൽക്കാലിക പ്ലേസ്ഹോൾഡർ ആണ് --- diff --git a/translations/ml/7-TimeSeries/3-SVR/README.md b/translations/ml/7-TimeSeries/3-SVR/README.md index 755f020bb..9c22d243c 100644 --- a/translations/ml/7-TimeSeries/3-SVR/README.md +++ b/translations/ml/7-TimeSeries/3-SVR/README.md @@ -1,12 +1,3 @@ - # Support Vector Regressor ഉപയോഗിച്ച് ടൈം സീരീസ് പ്രവചനം മുൻപത്തെ പാഠത്തിൽ, ടൈം സീരീസ് പ്രവചനങ്ങൾ നടത്താൻ ARIMA മോഡൽ എങ്ങനെ ഉപയോഗിക്കാമെന്ന് നിങ്ങൾ പഠിച്ചു. ഇപ്പോൾ നിങ്ങൾ തുടർച്ചയായ ഡാറ്റ പ്രവചിക്കാൻ ഉപയോഗിക്കുന്ന ഒരു റെഗ്രസർ മോഡലായ Support Vector Regressor മോഡലിനെക്കുറിച്ച് നോക്കാൻ പോകുന്നു. diff --git a/translations/ml/7-TimeSeries/3-SVR/assignment.md b/translations/ml/7-TimeSeries/3-SVR/assignment.md index 21b16a633..0c8fb8160 100644 --- a/translations/ml/7-TimeSeries/3-SVR/assignment.md +++ b/translations/ml/7-TimeSeries/3-SVR/assignment.md @@ -1,12 +1,3 @@ - # ഒരു പുതിയ SVR മോഡൽ ## നിർദ്ദേശങ്ങൾ [^1] diff --git a/translations/ml/7-TimeSeries/README.md b/translations/ml/7-TimeSeries/README.md index 8f68d71be..13749ee9f 100644 --- a/translations/ml/7-TimeSeries/README.md +++ b/translations/ml/7-TimeSeries/README.md @@ -1,12 +1,3 @@ - # ടൈം സീരീസ് ഫോറ്കാസ്റ്റിങ്ങിലേക്ക് പരിചയം ടൈം സീരീസ് ഫോറ്കാസ്റ്റിംഗ് എന്താണ്? ഇത് കഴിഞ്ഞ കാലത്തെ പ്രവണതകൾ വിശകലനം ചെയ്ത് ഭാവിയിലെ സംഭവങ്ങൾ പ്രവചിക്കുന്നതിനെക്കുറിച്ചാണ്. diff --git a/translations/ml/8-Reinforcement/1-QLearning/README.md b/translations/ml/8-Reinforcement/1-QLearning/README.md index 5df606513..8cfe7603b 100644 --- a/translations/ml/8-Reinforcement/1-QLearning/README.md +++ b/translations/ml/8-Reinforcement/1-QLearning/README.md @@ -1,12 +1,3 @@ - # റീഇൻഫോഴ്‌സ്‌മെന്റ് ലേണിംഗിനും ക്യൂ-ലേണിംഗിനും പരിചയം ![മെഷീൻ ലേണിംഗിലെ റീഇൻഫോഴ്‌സ്‌മെന്റിന്റെ സംഗ്രഹം ഒരു സ്കെച്ച്നോട്ടിൽ](../../../../translated_images/ml/ml-reinforcement.94024374d63348db.webp) diff --git a/translations/ml/8-Reinforcement/1-QLearning/assignment.md b/translations/ml/8-Reinforcement/1-QLearning/assignment.md index cd688b859..d6e55883d 100644 --- a/translations/ml/8-Reinforcement/1-QLearning/assignment.md +++ b/translations/ml/8-Reinforcement/1-QLearning/assignment.md @@ -1,12 +1,3 @@ - # കൂടുതൽ യാഥാർത്ഥ്യമുള്ള ലോകം നമ്മുടെ സാഹചര്യത്തിൽ, പീറ്റർ തളരാതെ അല്ലെങ്കിൽ വിശക്കാതെ ഏകദേശം ചുറ്റിപ്പറക്കാൻ കഴിഞ്ഞു. കൂടുതൽ യാഥാർത്ഥ്യമുള്ള ലോകത്തിൽ, നമ്മൾ ഇടയ്ക്കിടെ ഇരുന്ന് വിശ്രമിക്കേണ്ടതും, കൂടാതെ ഭക്ഷണം കഴിക്കേണ്ടതും ഉണ്ടാകും. താഴെ കൊടുത്തിരിക്കുന്ന നിയമങ്ങൾ നടപ്പിലാക്കി നമ്മുടെ ലോകം കൂടുതൽ യാഥാർത്ഥ്യമാക്കാം: diff --git a/translations/ml/8-Reinforcement/1-QLearning/solution/Julia/README.md b/translations/ml/8-Reinforcement/1-QLearning/solution/Julia/README.md index d7c2d2b0f..d62d5624a 100644 --- a/translations/ml/8-Reinforcement/1-QLearning/solution/Julia/README.md +++ b/translations/ml/8-Reinforcement/1-QLearning/solution/Julia/README.md @@ -1,12 +1,3 @@ - ഇത് ഒരു താൽക്കാലിക പ്ലേസ്ഹോൾഡർ ആണ് --- diff --git a/translations/ml/8-Reinforcement/1-QLearning/solution/R/README.md b/translations/ml/8-Reinforcement/1-QLearning/solution/R/README.md index b066e03ca..d62d5624a 100644 --- a/translations/ml/8-Reinforcement/1-QLearning/solution/R/README.md +++ b/translations/ml/8-Reinforcement/1-QLearning/solution/R/README.md @@ -1,12 +1,3 @@ - ഇത് ഒരു താൽക്കാലിക പ്ലേസ്ഹോൾഡർ ആണ് --- diff --git a/translations/ml/8-Reinforcement/2-Gym/README.md b/translations/ml/8-Reinforcement/2-Gym/README.md index 5ed0688a3..bdfdff290 100644 --- a/translations/ml/8-Reinforcement/2-Gym/README.md +++ b/translations/ml/8-Reinforcement/2-Gym/README.md @@ -1,12 +1,3 @@ - # കാർട്ട്‌പോൾ സ്‌കേറ്റിംഗ് മുൻപത്തെ പാഠത്തിൽ നാം പരിഹരിച്ച പ്രശ്നം ഒരു കളിപ്പാട്ട പ്രശ്നം പോലെ തോന്നാം, യഥാർത്ഥ ജീവിത സാഹചര്യങ്ങൾക്ക് യോജിച്ചില്ലാത്തതായിരിക്കാം. എന്നാൽ ഇത് സത്യമായിട്ടില്ല, കാരണം പല യഥാർത്ഥ ലോക പ്രശ്നങ്ങളും ഈ സാഹചര്യത്തെ പങ്കുവെക്കുന്നു - ചെസ് അല്ലെങ്കിൽ ഗോ കളിക്കുന്നത് ഉൾപ്പെടെ. അവ സമാനമാണ്, കാരണം നമുക്ക് ഒരു ബോർഡ് ഉണ്ട്, നിശ്ചിത നിയമങ്ങളോടുകൂടി, കൂടാതെ ഒരു **വ്യത്യസ്തമായ അവസ്ഥ** ഉണ്ട്. diff --git a/translations/ml/8-Reinforcement/2-Gym/assignment.md b/translations/ml/8-Reinforcement/2-Gym/assignment.md index 25397d48e..b6c2251ff 100644 --- a/translations/ml/8-Reinforcement/2-Gym/assignment.md +++ b/translations/ml/8-Reinforcement/2-Gym/assignment.md @@ -1,12 +1,3 @@ - # ട്രെയിൻ മൗണ്ടൻ കാർ [OpenAI Gym](http://gym.openai.com) എല്ലാ പരിസ്ഥിതികളും ഒരേ API നൽകുന്ന വിധത്തിൽ രൂപകൽപ്പന ചെയ്തിരിക്കുന്നു - അഥവാ ഒരേ രീതിയിലുള്ള `reset`, `step` , `render` മെത്തഡുകളും **action space** , **observation space** എന്നിവയുടെ ഒരേ ആബ്സ്ട്രാക്ഷനുകളും. അതിനാൽ, കുറഞ്ഞ കോഡ് മാറ്റങ്ങളോടെ വ്യത്യസ്ത പരിസ്ഥിതികളിൽ ഒരേ reinforcement learning ആൽഗോരിതങ്ങൾ ഉപയോഗിക്കാൻ സാധിക്കണം. diff --git a/translations/ml/8-Reinforcement/2-Gym/solution/Julia/README.md b/translations/ml/8-Reinforcement/2-Gym/solution/Julia/README.md index f91eccbf7..f08a8a275 100644 --- a/translations/ml/8-Reinforcement/2-Gym/solution/Julia/README.md +++ b/translations/ml/8-Reinforcement/2-Gym/solution/Julia/README.md @@ -1,12 +1,3 @@ - ഇത് ഒരു താൽക്കാലിക പ്ലേസ്ഹോൾഡറാണ് --- diff --git a/translations/ml/8-Reinforcement/2-Gym/solution/R/README.md b/translations/ml/8-Reinforcement/2-Gym/solution/R/README.md index e3f81af1d..fe702eb8f 100644 --- a/translations/ml/8-Reinforcement/2-Gym/solution/R/README.md +++ b/translations/ml/8-Reinforcement/2-Gym/solution/R/README.md @@ -1,12 +1,3 @@ - ഇത് ഒരു താൽക്കാലിക പ്ലേസ്ഹോൾഡറാണ് --- diff --git a/translations/ml/8-Reinforcement/README.md b/translations/ml/8-Reinforcement/README.md index 15b393238..6292d9f61 100644 --- a/translations/ml/8-Reinforcement/README.md +++ b/translations/ml/8-Reinforcement/README.md @@ -1,12 +1,3 @@ - # റീഇൻഫോഴ്‌സ്‌മെന്റ് ലേണിങ്ങിലേക്ക് പരിചയം റീഇൻഫോഴ്‌സ്‌മെന്റ് ലേണിംഗ്, RL, സൂപ്പർവൈസ്ഡ് ലേണിംഗിനും അൺസൂപ്പർവൈസ്ഡ് ലേണിംഗിനും അടുത്തുള്ള അടിസ്ഥാന മെഷീൻ ലേണിംഗ് പാരഡൈംസ് ഒന്നായി കാണപ്പെടുന്നു. RL തീരുമാനങ്ങളുമായി ബന്ധപ്പെട്ടതാണ്: ശരിയായ തീരുമാനങ്ങൾ നൽകുക അല്ലെങ്കിൽ കുറഞ്ഞത് അവയിൽ നിന്ന് പഠിക്കുക. diff --git a/translations/ml/9-Real-World/1-Applications/README.md b/translations/ml/9-Real-World/1-Applications/README.md index 6efcd4d2c..8bf949899 100644 --- a/translations/ml/9-Real-World/1-Applications/README.md +++ b/translations/ml/9-Real-World/1-Applications/README.md @@ -1,12 +1,3 @@ - # പോസ്റ്റ്‌സ്‌ക്രിപ്റ്റ്: യാഥാർത്ഥ്യ ലോകത്തിലെ മെഷീൻ ലേണിംഗ് diff --git a/translations/ml/9-Real-World/1-Applications/assignment.md b/translations/ml/9-Real-World/1-Applications/assignment.md index 92532f142..e8b359d05 100644 --- a/translations/ml/9-Real-World/1-Applications/assignment.md +++ b/translations/ml/9-Real-World/1-Applications/assignment.md @@ -1,12 +1,3 @@ - # ഒരു ML സ്കാവഞ്ചർ ഹണ്ട് ## നിർദ്ദേശങ്ങൾ diff --git a/translations/ml/9-Real-World/2-Debugging-ML-Models/README.md b/translations/ml/9-Real-World/2-Debugging-ML-Models/README.md index d6fcffb3b..ecd85c2c7 100644 --- a/translations/ml/9-Real-World/2-Debugging-ML-Models/README.md +++ b/translations/ml/9-Real-World/2-Debugging-ML-Models/README.md @@ -1,12 +1,3 @@ - # പോസ്റ്റ്‌സ്‌ക്രിപ്റ്റ്: ഉത്തരവാദിത്വമുള്ള AI ഡാഷ്ബോർഡ് ഘടകങ്ങൾ ഉപയോഗിച്ച് മെഷീൻ ലേണിങ്ങിൽ മോഡൽ ഡീബഗ്ഗിംഗ് ## [പ്രീ-ലെക്ചർ ക്വിസ്](https://ff-quizzes.netlify.app/en/ml/) diff --git a/translations/ml/9-Real-World/2-Debugging-ML-Models/assignment.md b/translations/ml/9-Real-World/2-Debugging-ML-Models/assignment.md index a8029b9fe..7300dc5e3 100644 --- a/translations/ml/9-Real-World/2-Debugging-ML-Models/assignment.md +++ b/translations/ml/9-Real-World/2-Debugging-ML-Models/assignment.md @@ -1,12 +1,3 @@ - # ഉത്തരവാദിത്വമുള്ള AI (RAI) ഡാഷ്ബോർഡ് അന്വേഷിക്കുക ## നിർദ്ദേശങ്ങൾ diff --git a/translations/ml/9-Real-World/README.md b/translations/ml/9-Real-World/README.md index 0c83aff42..d55158942 100644 --- a/translations/ml/9-Real-World/README.md +++ b/translations/ml/9-Real-World/README.md @@ -1,12 +1,3 @@ - # പോസ്റ്റ്‌സ്‌ക്രിപ്റ്റ്: ക്ലാസിക് മെഷീൻ ലേണിങ്ങിന്റെ യഥാർത്ഥ ലോക പ്രയോഗങ്ങൾ പാഠ്യപദ്ധതിയുടെ ഈ വിഭാഗത്തിൽ, നിങ്ങൾക്ക് ക്ലാസിക്കൽ എംഎൽ ഉപയോഗിച്ച യഥാർത്ഥ ലോക പ്രയോഗങ്ങളെ പരിചയപ്പെടുത്തും. നാം ന്യുറൽ നെറ്റ്വർക്കുകൾ, ഡീപ്പ് ലേണിംഗ്, എഐ എന്നിവ ഒഴിവാക്കി ഈ തന്ത്രങ്ങൾ ഉപയോഗിച്ച പ്രയോഗങ്ങളെക്കുറിച്ചുള്ള വൈറ്റ്‌പേപ്പറുകളും ലേഖനങ്ങളും കണ്ടെത്താൻ ഇന്റർനെറ്റ് തിരഞ്ഞെടുത്തു. ബിസിനസ് സിസ്റ്റങ്ങൾ, പരിസ്ഥിതി പ്രയോഗങ്ങൾ, ഫിനാൻസ്, കലയും സംസ്കാരവും ഉൾപ്പെടെ എങ്ങനെ എംഎൽ ഉപയോഗിക്കപ്പെടുന്നു എന്ന് പഠിക്കൂ. diff --git a/translations/ml/AGENTS.md b/translations/ml/AGENTS.md index d84548941..60de32a3d 100644 --- a/translations/ml/AGENTS.md +++ b/translations/ml/AGENTS.md @@ -1,12 +1,3 @@ - # AGENTS.md ## Project Overview diff --git a/translations/ml/CODE_OF_CONDUCT.md b/translations/ml/CODE_OF_CONDUCT.md index bfc410fcf..c47023206 100644 --- a/translations/ml/CODE_OF_CONDUCT.md +++ b/translations/ml/CODE_OF_CONDUCT.md @@ -1,12 +1,3 @@ - # Microsoft ഓപ്പൺ സോഴ്‌സ് കോഡ് ഓഫ് കണ്ടക്റ്റ് ഈ പ്രോജക്ട് [Microsoft ഓപ്പൺ സോഴ്‌സ് കോഡ് ഓഫ് കണ്ടക്റ്റ്](https://opensource.microsoft.com/codeofconduct/) സ്വീകരിച്ചിട്ടുണ്ട്. diff --git a/translations/ml/CONTRIBUTING.md b/translations/ml/CONTRIBUTING.md index f8f4e1354..775885fb1 100644 --- a/translations/ml/CONTRIBUTING.md +++ b/translations/ml/CONTRIBUTING.md @@ -1,12 +1,3 @@ - # സംഭാവനകൾ ഈ പ്രോജക്റ്റ് സംഭാവനകളും നിർദ്ദേശങ്ങളും സ്വാഗതം ചെയ്യുന്നു. മിക്ക സംഭാവനകൾക്കും നിങ്ങൾക്ക് Contributor License Agreement (CLA) യിൽ സമ്മതിക്കേണ്ടതുണ്ട്, അതിൽ നിങ്ങൾക്ക് നിങ്ങളുടെ സംഭാവന ഉപയോഗിക്കാൻ അവകാശമുണ്ടെന്ന്, യഥാർത്ഥത്തിൽ അവകാശം നൽകുന്നതായി പ്രഖ്യാപിക്കേണ്ടതുണ്ട്. വിശദാംശങ്ങൾക്ക്, സന്ദർശിക്കുക https://cla.microsoft.com. diff --git a/translations/ml/README.md b/translations/ml/README.md index 49d27801c..11ec6195f 100644 --- a/translations/ml/README.md +++ b/translations/ml/README.md @@ -1,12 +1,3 @@ - [![GitHub license](https://img.shields.io/github/license/microsoft/ML-For-Beginners.svg)](https://github.com/microsoft/ML-For-Beginners/blob/master/LICENSE) [![GitHub contributors](https://img.shields.io/github/contributors/microsoft/ML-For-Beginners.svg)](https://GitHub.com/microsoft/ML-For-Beginners/graphs/contributors/) [![GitHub issues](https://img.shields.io/github/issues/microsoft/ML-For-Beginners.svg)](https://GitHub.com/microsoft/ML-For-Beginners/issues/) @@ -17,216 +8,199 @@ CO_OP_TRANSLATOR_METADATA: [![GitHub forks](https://img.shields.io/github/forks/microsoft/ML-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/ML-For-Beginners/network/) [![GitHub stars](https://img.shields.io/github/stars/microsoft/ML-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/ML-For-Beginners/stargazers/) -### 🌐 ബഹുഭാഷാ പിന്തുണ +### 🌐 ബഹുഭാഷാ സഹായം -#### GitHub ആക്ഷൻ വഴി പിന്തുണ (സ്വകാര്യവും എപ്പോഴും പുതിയതും) +#### GitHub ആക്ഷനിലൂടെ പിന്തുണ (സ്വച്ഛന്ദവും എപ്പൊഴും അപ്‌ടേറ്റും) -[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese 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[Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md) -> **പ്രാദേശികമായി ക്ലോൺ ചെയ്യാൻ ഇഷ്ടമാണോ?** +> **ക്ലോൺ ചെയ്യാൻ പ്രാധാന്യം തരാൻ ആഗ്രഹമുണ്ടോ?** -> ഈ റീപ്പോസിറ്ററിയിൽ 50+ ഭാഷാ തർജ്ജമകൾ ഉൾപ്പെടുന്നു, കൂടിയ ഡൗൺലോഡ് വലുപ്പം ഉണ്ടാക്കുന്നു. തർജ്ജമകൾ ഇല്ലാതെ ക്ലോൺ ചെയ്യാൻ, sparse checkout ഉപയോഗിക്കുക: +> ഈ റിപ്പോസിറ്ററിയിൽ 50-ലധികം ഭാഷാ വിവർത്തനങ്ങൾ ഉൾക്കൊള്ളിച്ചിരിക്കുന്നു, ഇത് ഡൗൺലോഡിന്റെ വലുപ്പം വലിയതാക്കുന്നു. വിവർത്തനങ്ങൾ ഇല്ലാതെ ക്ലോൺ ചെയ്യാൻ sparse checkout ഉപയോഗിക്കുക: > ```bash > git clone --filter=blob:none --sparse https://github.com/microsoft/ML-For-Beginners.git > cd ML-For-Beginners > git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' > ``` -> ഇത് നിങ്ങൾക്ക് കോഴ്സ് വളരെ വേഗത്തിൽ പൂർത്തിയാക്കാൻ ആവശ്യമുള്ള എല്ലാ വസ്തുക്കളും നല്കും. +> ഇതിലൂടെ ഈ കോഴ്സ് പൂർത്തിയാക്കാൻ ആവശ്യമായ എല്ലാ കാര്യങ്ങളും വളരെ വേഗം ഡൗൺലോഡ് ചെയ്യാം. -#### ഞങ്ങളുടെ സമൂഹത്തിലേക്ക് ചേരുക +#### നമ്മുടെ കമ്മ്യൂണിറ്റിയിൽകൂടെ ചേർക്കുക [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -നമ്മൾ ഒരു ഡിസ്‌കോർഡിൽ "AI സീരീസുമായി പഠിക്കുക" നടന്നുകൊണ്ടിരിക്കുന്നു; കൂടുതൽ അറിയാനും 18 - 30 സെപ്റ്റംബർ, 2025 ഇൽ ഞങ്ങളോടൊപ്പം ചേരാനും [Learn with AI Series](https://aka.ms/learnwithai/discord) സന്ദർശിക്കുക. GitHub Copilot ഉപയോഗിച്ച് Data Science-നുള്ള ടിപ്‌സും ട്രിക്കുകളും നിങ്ങൾക്ക് ലഭിക്കും. +നമ്മുടെ Discord ലെ 'AI സീരീസ് കൊണ്ട് പഠിക്കാം' പരിപാടി നടന്നു കൊണ്ടിരിക്കുന്നു, കൂടുതൽ വിവരങ്ങൾക്കും ചേരാൻ [Learn with AI Series](https://aka.ms/learnwithai/discord) സന്ദർശിക്കുക, തീയതി 18 - 30 സെപ്റ്റംബർ, 2025. നിങ്ങൾക്ക് ഡാറ്റാ സയൻസിൽ GitHub Copilot ഉപയോഗിക്കുന്നതിനുള്ള ഉപദേശങ്ങളും തന്ത്രങ്ങളും ലഭിക്കും. -![Learn with AI series](../../../../translated_images/ml/3.9b58fd8d6c373c20.webp) +![Learn with AI series](../../translated_images/ml/3.9b58fd8d6c373c20.webp) -# തുടക്കക്കാർക്കുള്ള മെഷീൻ ലേണിംഗ് - ഒരു പാഠ്യപദ്ധതി +# പുതിയവർക്കുള്ള മെഷീൻ ലേണിംഗ് - ഒരു അധ്യയനക്രമം -> 🌍 ലോക സംസ്കാരങ്ങളിലൂടെ മെഷീൻ ലേണിംഗ് അന്വേഷിച്ച് ലോകമെടുത്ത് സഞ്ചരിക്കുക 🌍 +> 🌍 ലോക സംസ്കാരങ്ങളിലൂടെ മെഷീൻ ലേണിംഗ് പഠിക്കുമ്പോൾ ലോകം സഞ്ചരിയ്ക്കുക 🌍 -Microsoft-ലെ ക്ലൗഡ് അഡ്വക്കേറ്റ്‌സ് 12 ആഴ്ച, 26 പാഠങ്ങളുള്ള **മെഷീൻ ലേണിംഗ്** കോഴ്‌സ് എത്തിക്കുകയാണ്. ഈ പാഠ്യപദ്ധതിയിൽ, പ്രധാനമായും Scikit-learn ലൈബ്രറി ഉപയോഗിച്ച് ചിലപ്പോഴൊക്കെ **പാരമ്പര്യ മെഷീൻ ലേണിംഗ്** എന്ന് പറയപ്പെടുന്നതിനെക്കുറിച്ചാണ് പഠിക്കുന്നത്, ഡീപ് ലേണിംഗ് ഒഴിവാക്കുന്നു, അത് ഞങ്ങളുടെ [AI for Beginners' curriculum](https://aka.ms/ai4beginners)-ൽ ഉൾപ്പെടുത്തിയിട്ടുണ്ട്. ഈ പാഠങ്ങളെ ['Data Science for Beginners' curriculum](https://aka.ms/ds4beginners) പോലുള്ളവയുമായും ചേർത്തുപയോഗിക്കാം. +Microsoft ലെ ക്ലൗഡ് അഡ്വക്കേറ്റ്സ് അഭിമാനത്തോടെ 12 ആഴ്ച, 26 പാഠങ്ങളുള്ള ഒരു **മെഷീൻ ലേണിംഗ്** അധ്യയനക്രമം അവതരിപ്പിക്കുന്നു. ഈ ക്രമത്തിൽ, പ്രധാനമായും Scikit-learn ലൈബ്രറി ഉപയോഗിച്ച് ചിലപ്പോൾ **ക്ലാസിക് മെഷീൻ ലേണിംഗ്** എന്നു വിളിക്കപ്പെടുന്ന കാര്യം പഠിക്കും, കൂടാതെ വിശദമായ പഠനം (ഡീപ് ലേണിംഗ്) ഒഴിവാക്കി, അതിന്റെ പഠനം שלנו [AI for Beginners' curriculum](https://aka.ms/ai4beginners) ലും ലഭ്യമാണ്. ഈ പാഠങ്ങളോട് ഒപ്പം ഞങ്ങൾ അവതരിപ്പിക്കുന്ന ['Data Science for Beginners' curriculum](https://aka.ms/ds4beginners) കൂടെ ചേർത്ത് ഉപയോഗിക്കാം. -ലോകമാകെ ഏറിയ സ്ഥലങ്ങളിൽ നിന്നുള്ള ഡാറ്റ ഉപയോഗിച്ച് ഈ പാരമ്പര്യ സാങ്കേതിക വിദ്യകൾ ഞങ്ങൾ ഉപയോഗിക്കും. ഓരോ പാഠത്തിനും മുൻപും കഴിഞ്ഞും ക്വിസുകൾ, എഴുത്തുകൂടിയ നിർദ്ദേശങ്ങൾ, സമാധാനം, അസൈൻമെന്റ് എന്നിവ ഉൾപ്പെടുന്നു. നമ്മുടെ പ്രൊജക്ട് അടിസ്ഥാനത്തിലുള്ള പഠനരീതി നിങ്ങളെ നിർമാണത്തിലൂടെ പഠിപ്പിക്കും, പുതിയ കഴിവുകൾ പിടിച്ചുപറ്റാൻ സഹായിക്കുന്ന മറ്യാദമായ മാർഗ്ഗമാണ്. +ലോകത്തിന്റെ വിവിധ ഭാഗങ്ങളിൽ നിന്നുള്ള ഡാറ്റയുമായി ഈ ക്ലാസിക് സാങ്കേതിക വിദ്യകൾ പ്രയോഗിച്ച് ഞങ്ങളോടൊപ്പം സഞ്ചരിക്കുക. ഓരോ പാഠത്തിലും മുൻകാലവും ശേഷമുള്ള ക്വിസുകൾ, പാഠം പൂർത്തിയാക്കാനുള്ള എഴുതപ്പെട്ട നിർദേശം, പരിഹാരം, അസൈൻമെന്റ് തുടങ്ങിയവ ഉൾപ്പെടുത്തിയിരിക്കുന്നു. നമ്മുടെ പദ്ധതിഭിഷക്‌ത പഠനരീതി (project-based pedagogy) നിങ്ങളെ പഠിപ്പിക്കും, പുതിയ കഴിവുകൾ 'അച്ചെക്കാൻ' ഏറ്റവും മികച്ച മാർഗമാണ്. -**✍️ ഞങ്ങളുടെ എഴുത്തുകാർക്ക് ആത്മാർത്ഥ നന്ദി:** Jen Looper, Stephen Howell, Francesca Lazzeri, Tomomi Imura, Cassie Breviu, Dmitry Soshnikov, Chris Noring, Anirban Mukherjee, Ornella Altunyan, Ruth Yakubu, Amy Boyd +**✍️ ഞങ്ങളുടെ ലേഖകരായി നിന്നവർക്ക് ഹൃദയംഗമമായ നന്ദി:** Jen Looper, Stephen Howell, Francesca Lazzeri, Tomomi Imura, Cassie Breviu, Dmitry Soshnikov, Chris Noring, Anirban Mukherjee, Ornella Altunyan, Ruth Yakubu, Amy Boyd -**🎨 ചിത്രകലാകാരന്മാർക്കുമാണ് നന്ദി:** Tomomi Imura, Dasani Madipalli, Jen Looper +**🎨 ചിത്രകാരന്മാർക്ക് നന്ദിയും:** Tomomi Imura, Dasani Madipalli, Jen Looper -**🙏 പ്രത്യേക നന്ദി 🙏 Microsoft Student Ambassador എഴുത്തുകാർ, റിവ്യൂവേഴ്സ്, ഉള്ളടക്ക സംഭാവകർക്ക്**, പ്രത്യേകിച്ച് Rishit Dagli, Muhammad Sakib Khan Inan, Rohan Raj, Alexandru Petrescu, Abhishek Jaiswal, Nawrin Tabassum, Ioan Samuila, Snigdha Agarwal +**🙏 പ്രത്യേക നന്ദി 🙏 Microsoft വിദ്യാർത്ഥി അംബാസഡർ എഡിറ്റർമാർ, റിവ്യൂവർമാർ, കോൺറന്റ് കൺട്രിബ്യൂട്ടർമാർക്ക്**, പ്രധാനമായി Rishit Dagli, Muhammad Sakib Khan Inan, Rohan Raj, Alexandru Petrescu, Abhishek Jaiswal, Nawrin Tabassum, Ioan Samuila, Snigdha Agarwal -**🤩 Microsoft Student Ambassadors Eric Wanjau, Jasleen Sondhi, Vidushi Gupta-യുടെ R പാഠങ്ങൾക്കായുള്ള കൂടുതൽ കൃതജ്ഞത!** +**🤩 Microsoft Student Ambassadors Eric Wanjau, Jasleen Sondhi, Vidushi Gupta യ്ക്ക് R പാഠങ്ങൾക്കുള്ള പ്രത്യേക നന്ദിയും!** -# ആരംഭിക്കുന്നത് +# തുടക്കം എടുക്കുക -ഈ ഘട്ടങ്ങൾ പിന്തുടരുക: -1. **റീപ്പോസിറ്ററി Fork ചെയ്യുക**: ഈ പേജിന്റെ മുകളിൽ വലതു കോണിൽ തിരഞ്ഞെടുത്ത "Fork" ബട്ടൺ ക്ലിക്ക് ചെയ്യുക. -2. **റീപ്പോസിറ്ററി ക്ലോൺ ചെയ്യുക**: `git clone https://github.com/microsoft/ML-For-Beginners.git` +ഈ ചുവടുകൾ പാലിക്കുക: +1. **റിപ്പോസിറ്ററി ഫോർക്കുചെയ്യുക**: ഈ പേജിന്റെ മുകളിൽ വലത് ഭാഗത്ത് "Fork" ബട്ടൺ അമർത്തുക. +2. **റിപ്പോസിറ്ററി ക്ലോൺ ചെയ്യുക**: `git clone https://github.com/microsoft/ML-For-Beginners.git` -> [ഈ കോഴ്‌സിനുള്ള എല്ലാ അധികവസ്തുക്കളും ഞങ്ങളുടെ Microsoft Learn ശേഖരത്തിൽ കാണുക](https://learn.microsoft.com/en-us/collections/qrqzamz1nn2wx3?WT.mc_id=academic-77952-bethanycheum) +> [ഈ കോഴ്സിനായി എല്ലാ അനുബന്ധ വിഭവങ്ങളും നമ്മുടെ Microsoft Learn കലക്ഷനിൽ കാണുക](https://learn.microsoft.com/en-us/collections/qrqzamz1nn2wx3?WT.mc_id=academic-77952-bethanycheum) -> 🔧 **സഹായം വേണോ?** ഇൻസ്റ്റലേഷൻ, സജ്ജീകരണം, പാഠങ്ങൾ പ്രവർത്തിപ്പിക്കുന്നതിലുള്ള സാധാരണ പ്രശ്നങ്ങൾക്ക് ഞങ്ങളുടെ [Troubleshooting Guide](TROUBLESHOOTING.md) സന്ദർശിക്കുക. +> 🔧 **സഹായം വേണമെന്ന് തോന്നുന്നുവോ?** ഇൻസ്റ്റലേഷൻ, സെറ്റപ്, പാഠങ്ങൾ ഓടിക്കുന്നതിലെ സാധാരണ പ്രശ്‌നങ്ങൾക്ക് പരിഹാരങ്ങളായ [Troubleshooting Guide](TROUBLESHOOTING.md) നോക്കൂ. -**[വിദ്യാർത്ഥികൾ](https://aka.ms/student-page)**, ഈ പാഠ്യപദ്ധതി ഉപയോഗിക്കാനായി, മുഴുവൻ രീപ്പോ നിങ്ങൾ സ്വന്തം GitHub അക്കൗണ്ടിലേക്ക് fork ചെയ്ത് സ്വതന്ത്രമായി അല്ലെങ്കിൽ ഗ്രൂപ്പുമായി അഭ്യാസങ്ങൾ പൂർത്തിയാക്കുക: +**[വിദ്യാർത്ഥികൾ](https://aka.ms/student-page)**, ഈ അധ്യയനക്രമം ഉപയോഗിക്കാൻ, പൂർണ്ണമായും റിപോ നിങ്ങളുടെ സ്വന്തം GitHub അക്കൗണ്ടിലേക്ക് ഫോർക്കുചെയ്ത് സ്വതന്ത്രമായി അല്ലെങ്കിൽ കൂട്ടായ്മയോടെ പ്രവർത്തിക്കുക: -- പ്രാക്ടിക്കൽ ക്വിസ് ആരംഭിക്കുക. -- ലക്ചർ വായിച്ച് പ്രവർത്തനങ്ങൾ തീർക്കുക, ഓരോ നോളജ് ചെക്കിലും reflecting ചെയ്യുക. -- ലോണുകളെ മനസ്സിലാക്കി പ്രൊജക്ടുകൾ നിർമ്മിക്കാൻ ശ്രമിക്കുക; എങ്കിലും കോഡ് ഓരോ പ്രൊജക്ട് പാഠഭാഗത്തിലും /solution ഫോൾഡറിൽ ലഭ്യമാണ്. -- പാഠം കഴിഞ്ഞ് പോസ്റ്റ്-ലക്ചർ ക്വിസ് എഴുതുക. -- ചാലഞ്ച് പൂർത്തിയാക്കുക. +- പ്രീ-ലെക്ചർ ക്വിസ് ആരംഭിക്കുക. +- ലക്ചർ വായിക്കുകയും പാഠം പൂർത്തിയാക്കുന്നതുമായി ബന്ധപ്പെട്ട പ്രവർത്തനങ്ങൾ ചെയ്യുക, ഓരോ അറിവ് പരിശോധനയിലും താൽക്കാലികമായി നിർത്തി ചിന്തിക്കുക. +- പാഠം മനസ്സിലാക്കി പ്രോജക്റ്റുകൾ സൃഷ്ടിക്കാൻ ശ്രമിക്കുക; എന്നിരുന്നാലും പരിഹാര കോഡ് ഓരോ പ്രോജക്ട്‌ളുള്ള `/solution` ഫോൾഡറുകളിൽ ലഭ്യമാണ്. +- പോസ്റ്റ്-ലെക്ചർ ക്വിസ് ചെയ്യുക. +- ചലഞ്ച് പൂർത്തിയാക്കുക. - അസൈൻമെന്റ് ചെയ്യുക. -- ഒരു പാഠസമൂഹം പൂർത്തിയാക്കിയ ശേഷം, [Discussion Board](https://github.com/microsoft/ML-For-Beginners/discussions) സന്ദർ‍ശിച്ച് സാധ്യതകൾ പങ്കുവെക്കുക. പാറ്റ് (PAT - Progress Assessment Tool) പൂരിപ്പിച്ച് കൂടെ പഠിക്കുക. മറ്റുള്ളവരുടെ PAT-കളിൽ പ്രതികരിക്കുകയും ചെയ്യാം. +- ഒരു പാഠ ഗ്രൂപ്പ് പൂർത്തിയാക്കിയ ശേഷം, [Discussion Board](https://github.com/microsoft/ML-For-Beginners/discussions) സന്ദർശിച്ച് അനുയോജ്യമായ PAT റൂബ്രിക് പൂരിപ്പിച്ച് "ശബ്ദത്തിൽ പഠിക്കുക". 'PAT' എന്നത് പ്രോഗ്രസ് അസസ്സ്മെന്റ് ടൂൾ ആണ്, നിങ്ങളുടെ പഠനം മെച്ചപ്പെടുത്താൻ നിങ്ങൾ പൂരിപ്പിക്കുന്ന ഒരു രൂപരേഖ. മറ്റുള്ളവരുടെ PATലിനും പ്രതികരിച്ച് ഞങ്ങൾ ചേർന്ന് പഠിക്കാം. -> കൂടുതൽ പഠനത്തിന്, ഞങ്ങളുടെ [Microsoft Learn](https://docs.microsoft.com/en-us/users/jenlooper-2911/collections/k7o7tg1gp306q4?WT.mc_id=academic-77952-leestott) മോഡ്യൂളുകളും പഠനപാതകളും ഫോളോ ചെയ്യാൻ ഞങ്ങൾ ശുപാർശ ചെയ്യുന്നു. +> കൂടുതൽ പഠനത്തിനായി, ഈ [Microsoft Learn](https://docs.microsoft.com/en-us/users/jenlooper-2911/collections/k7o7tg1gp306q4?WT.mc_id=academic-77952-leestott) മോഡ്യൂളുകളും പഠന പാതകളും പിന്തുടരാൻ ശുപാർശ ചെയ്യുന്നു. -**അധ്യാപകർക്ക്**, ഈ പാഠ്യപദ്ധതിയിൽ ഉപയോഗിക്കാനുള്ള ചില നിർദ്ദേശങ്ങൾ ഞങ്ങൾ [ഇവിടെ](for-teachers.md) ഉൾപ്പെടുത്തിയിട്ടുണ്ട്. +**ഉപാധ്യാപകർ**, ഈ അധ്യയനക്രമം ഉപയോഗിക്കുന്നതിനുള്ള ചില നിർദേശംങ്ങൾ [ഇവിടെ](for-teachers.md) ഉൾപ്പെടുത്തിയിട്ടുണ്ട്. --- -## വീഡിയോ വോക്-തറൂ +## വീഡിയോകളിലൂടെ പ്രയോഗം -ഒരു ചെറിയ വീഡിയോ രൂപത്തിൽ ചില പാഠങ്ങൾ ലഭ്യമാണ്. ഈ വീഡിയോകൾ പാഠങ്ങൾക്കுள் കാണാനോ, [Microsoft Developer YouTube ചാനലിലെ ML for Beginners Playlist](https://aka.ms/ml-beginners-videos) ൽനിന്നും ലഭ്യമാണ്. അടിഭാഗത്തെ ചിത്രത്തിൽ ക്ലിക്ക് ചെയ്യുക. +ചില പാഠങ്ങൾ ലഘു വീഡിയോകളായി ലഭ്യമാണ്. നിങ്ങൾക്ക് ഈ വീഡിയോകൾ പാഠങ്ങൾക്കിടയിൽ അല്ലെങ്കിൽ [Microsoft ഡെവലപ്പർ യൂട്യൂബ് ചാനലിലെ ML for Beginners പ്ലേലിസ്റ്റിൽ](https://aka.ms/ml-beginners-videos) ചിത്രത്തിൽ ക്ലിക്ക് ചെയ്ത് കാണാം. -[![ML for beginners banner](../../../../translated_images/ml/ml-for-beginners-video-banner.63f694a100034bc6.webp)](https://aka.ms/ml-beginners-videos) +[![ML for beginners banner](../../translated_images/ml/ml-for-beginners-video-banner.63f694a100034bc6.webp)](https://aka.ms/ml-beginners-videos) --- -## ടീമിനെ പരിചയപ്പെടുക +## ടീം പരിചയപ്പെടുത്തൽ [![Promo video](../../images/ml.gif)](https://youtu.be/Tj1XWrDSYJU) -**ഗിഫ് by** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal) +**Gif നിർമ്മിച്ചത്** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal) -> 🎥 ഈ ചിത്രത്തിൽ ക്ലിക്ക് ചെയ്ത് പ്രോജക്ടിന്റെയും സൃഷ്ടകരുടെയും കുറിച്ച് വീഡിയോ കാണുക! +> 🎥 ചിത്രത്തിൽ ക്ലിക്ക് ചെയ്ത് പ്രോജക്ടും സൃഷ്ടിച്ച ആളുകളും സംബന്ധിച്ച വീഡിയോകൾ കാണുക! --- -## പഠനരീതി +## പാഠശൈലി -ഈ പാഠ്യപദ്ധതി രൂപകൽപ്പന ചെയ്യുമ്പോൾ രണ്ട് പഠന തത്വങ്ങൾ ഞങ്ങൾ തിരഞ്ഞെടുക്കുന്നു: അല്പം-കൈയിൽപിടിക്കുന്ന **പ്രൊജക്ട് അടിസ്ഥാനപരമായ**തും, **നിരന്തരമായ ക്വിസുകളും** ഉള്ളതും. കൂടാതെ, ഇത് സംയോജിപ്പിക്കാനുള്ള ഒരു പൊതുസംബന്ധമായ **വിഷയം** ഉണ്ട്. +ഈ അധ്യയനക്രമം നിർമ്മിക്കുമ്പോൾ രണ്ട് പ്രധാന പാഠശൈലികൾ നിശ്ചയിച്ചു: പ്രായോഗികമായ **പ്രോജക്ട് അടിസ്ഥാനമായ** പഠനരീതി ഉറപ്പാക്കുക, കൂടാതെ **തുടർച്ചയായ ക്വിസുകൾ** ഉൾക്കൊള്ളിക്കുക. കൂടാതെ ഈ അധ്യയനക്രമത്തിന് ഒരൊറ്റ **തീം** ഉണ്ട്, ഇത് ഏകോപനം നൽകുന്നു. -വിഷയങ്ങൾ പ്രൊജക്ടുകളുമായി ഒത്തുചേരുന്നതിനാൽ വിദ്യാർത്ഥികൾ കൂടുതൽ ആകർഷകമായി പഠിച്ചു ആശയങ്ങൾ ദീർഘകാലം മനസ്സിലാക്കും. കുറഞ്ഞ സാഹചര്യത്തിലുള്ള ഒരു ക്വിസ് ക്ലാസിനായി ഒരുക്കുന്നതിനും പഠനത്തിനും ഉദ്ദേശ്യം സജ്ജമാക്കുന്നതിനും ഉപയോഗിക്കുന്നു; ക്ലാസ് കഴിഞ്ഞ് മറ്റൊരു ക്വിസ് അറിവ് ഉറപ്പാക്കുന്നു. ഈ പാഠ്യപദ്ധതി സ്വൈര്യവും രസം നിറഞ്ഞതുമായതാണ്, മുഴുവനായോ ഭാഗികമായോ ഇതുപയോഗിക്കാം. പ്രൊജക്ടുകൾ ചെറിയതിൽ നിന്നും ആരംഭിച്ച് 12 ആഴ്ചകളിലെ അവസാനത്തോടെ കൂടുതൽ സങ്കീർണ്ണമാകും. ഈ പാഠ്യപദ്ധതിയിൽ മെഷീൻ ലേണിംഗിന്റെ യാഥാർത്ഥ്യ പ്രയോഗങ്ങൾ പരാമർശിക്കുന്ന ഒരു പങ്ക് ഉൾക്കൊള്ളുന്നു; ഇത് അധികശ്രോതസായി അല്ലെങ്കിൽ ചർച്ചയ്ക്കായി ഉപയോഗിക്കാം. +വിഷയങ്ങളുടെ ഉള്ളടക്കം പ്രോജക്ടുകളുമായി ബന്ധിപ്പിക്കപ്പെട്ടാൽ വിദ്യാർത്ഥികളുടെ ഉൾപ്പെടൽ വർദ്ധിക്കുകയും ആശയങ്ങളുടെ ദൃഢതയും വർധിക്കുകയും ചെയ്യും. ക്ലാസിനു മുമ്പുള്ള കുറഞ്ഞ തുല്യമുള്ള ക്വിസ് വിദ്യാർത്ഥിയുടെ പഠന ആഗ്രഹം സൃഷ്ടിക്കുന്നു, ക്ലാസിനു ശേഷമുള്ള ക്വിസ് കൂടുതൽ സ്ഥിരത ഉറപ്പുവരുത്തുന്നു. ഈ അധ്യയനക്രമം സൗകര്യപ്രദവും രസകരവുമായ രീതിയിൽ രൂപകൽപ്പന ചെയ്തു, മുഴുവൻ തവണയും ഒരു ഭാഗമോ കൈകാര്യം ചെയ്യാം. പ്രോജക്ടുകൾ ചെറിയതിൽ നിന്നാരംഭിച്ച് 12 ആഴ്ചകളുടെ അവസാനം കൂടുതൽ സങ്കീർണ്ണമാകും. ഈ അധ്യയനക്രമം ML ന്റെ യഥാർത്ഥ ലോകത്തിലпля ഉപയോഗങ്ങളും ഉൾക്കൊള്ളുന്നതാണ്, ഇത് അധിക ക്രെഡിറ്റിന് അല്ലെങ്കിൽ ചർച്ചയ്ക്ക് അടിസ്ഥാനമായി ഉപയോഗിക്കാം. -> ഞങ്ങളുടെ [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), [Translation](TRANSLATIONS.md), [Troubleshooting](TROUBLESHOOTING.md) മാർഗ്ഗരേഖകൾ കാണുക. നിങ്ങളുടെ നിർമ്മിതാത്മക പ്രതികരണങ്ങൾ ഞങ്ങൾ സ്വാഗതം ചെയ്യുന്നു! +> ഞങ്ങളുടെ [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), [Translation](TRANSLATIONS.md), [Troubleshooting](TROUBLESHOOTING.md) മാർഗനിർദേശങ്ങൾ കാണുക. നിങ്ങളുടെ ക്രിയാത്മക അഭിപ്രായങ്ങൾ സ്വാഗതം! -## ഓരോ പാഠവും ഉൾക്കൊള്ളുന്നത് +## ഓരോ പാഠത്തിലും ഉൾപ്പെടുന്നു -- ഐച്ഛിക സ്കെച് നോട്ട് -- ഐച്ഛിക അധിക വീഡിയോ -- വീഡിയോ വോക്-തറൂ (ചില പാഠങ്ങൾക്കായി മാത്രം) -- [പ്രി-ലെക്ചർ വാർമപ്പ് ക്വിസ്](https://ff-quizzes.netlify.app/en/ml/) -- എഴുത്തുപാഠം -- പ്രൊജക്ട്-അധിഷ്ടിത പാഠങ്ങൾക്ക്, പ്രൊജക്ട് നിർമ്മിക്കുന്നതിനുള്ള ഘട്ടംഘട്ടമായ മാർഗ്ഗങ്ങൾ +- ഐച്ഛിക സ്കെച്ച് നോട്ടുകൾ +- ഐച്ഛികസഹായക വീഡിയോകൾ +- വീഡിയോകളിലൂടെ പാഠം മനസ്സിലാക്കൽ (ചില പാഠങ്ങൾക്കാണ്) +- [പ്രീ-ലെക്ചർ വാംപ് ക്വിസ്](https://ff-quizzes.netlify.app/en/ml/) +- എഴുതിയ പാഠം +- പ്രോജക്ട് അധിഷ്ഠിത പാഠങ്ങൾക്ക് പ്രോജക്ട് നിർമ്മാണത്തിനുള്ള ഘട്ടങ്ങൾ സംഭവാനുസരണം - അറിവ് പരിശോധനകൾ -- ഒരു ചാലഞ്ച് -- അധിക വായന +- ഒരു വെല്ലുവിളി +- സഹായക വായന - അസൈൻമെന്റ് - [പോസ്റ്റ്-ലെക്ചർ ക്വിസ്](https://ff-quizzes.netlify.app/en/ml/) -> **ഭാഷാചുറ്റം കുറിപ്പ്**: പ്രധാനമായും Python-ൽ എഴുതപ്പെട്ടിട്ടുള്ള ഈ പാഠങ്ങൾ, പലതും R- ലും ലഭ്യമാണ്. R പാഠം പൂർത്തിയാക്കാൻ, /solution ഫോൾഡർ പരിശോധിക്കുക, അവയിൽ R പാഠങ്ങൾ കാണാം. അവയിൽ .rmd എന്നത് കാണും, ഇത് **R Markdown** ഫയലിനെയാണ് സൂചിപ്പിക്കുന്നത്. ഇത് `കോഡ് ചങ്കുകൾ` (R അല്ലെങ്കിൽ മറ്റൊരു ഭാഷ) ഉൾപ്പെടുത്തുന്ന ഒരു മാർക്ക് ഡൗൺ ഡോക്യുമെന്റിന്റെ രൂപത്തിലുള്ള ഒരു എഴുത്ത് ഫ്രെയിംവർകാണ്. ഇതിലൂടെ കോഡ്, ഔട്ട്പുട്ട്, ചിന്തകൾ എല്ലാം മാർക്ക് ഡൗണിൽ എഴുതിയിടാം. R Markdown ഫയലുകൾ PDF, HTML, Word പോലുള്ള ഫോർമാറ്റുകളിലേക്ക് പരിണമിപ്പിക്കാം. -> **ക്വിസ് സംബന്ധിച്ച ഒരു കുറിപ്പ്**: എല്ലാ ക്വിസുകളും [Quiz App folder](../../quiz-app) ൽ ഉൾപ്പെടുത്തിയിട്ടുണ്ട്, ഓരോന്നിലും മൂന്ന് ചോദ്യങ്ങളുള്ള 52 മൊത്തം ക്വിസുകളാണ്. അവ പാഠങ്ങളിൽനിന്നും ലിങ്ക് ചെയ്തിട്ടുണ്ട്, പക്ഷേ ക്വിസ് ആപ്പ് ലോക്കലായി ഓടിക്കാം; ലോക്കലായി ഹോസ്റ്റ് ചെയ്യാനോ Azure-ലേക്ക് ഡിപ്ലോയ് ചെയ്യാനോ `quiz-app` ഫോൾഡറിൽ നൽകിയ निर्देशങ്ങൾ പാലിക്കൂ. - -| പാഠ നമ്പർ | വിഷയം | പാഠ ഗ്രൂപ്പിംഗ് | പഠനലക്ഷ്യങ്ങൾ | ലിങ്കുചെയ്ത പാഠം | രചയിതാവ് | -| :-------: | :------------------------------------------------------------: | :-------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------- | :---------------------------------------------------------------------------------------------------------------------------------------: | :----------------------------------------------------: | -| 01 | മെഷ്യൻ ലേണിങ്ങിന്റെ പരിചയം | [Introduction](1-Introduction/README.md) | മെഷ്യൻ ലേണിങ്ങിന്റെ അടിസ്ഥാന ആശയങ്ങൾ പഠിക്കുക | [Lesson](1-Introduction/1-intro-to-ML/README.md) | മുഹമ്മദ് | -| 02 | മെഷ്യൻ ലേണിങ്ങിന്റെ ചരിത്രം | [Introduction](1-Introduction/README.md) | ഈ രംഗത്തെ അടിസ്ഥാന ചരിത്രം പഠിക്കുക | [Lesson](1-Introduction/2-history-of-ML/README.md) | ജെൻ ആൻഡ് എമി | -| 03 | നീതിമാറ്റവും മെഷ്യൻ ലേണിങ്ങും | [Introduction](1-Introduction/README.md) | മെഷ്യൻ ലേണിങ് മോഡലുകൾ നിർമ്മിക്കുമ്പോൾ പരിഗണിക്കേണ്ട നീതിമാറ്റവുമായി ബന്ധപ്പെട്ട പ്രധാന തത്ത്വശാസ്ത്ര പ്രശ്നങ്ങൾ എന്തെല്ലാം ആണെന്ന് പഠിക്കുക | [Lesson](1-Introduction/3-fairness/README.md) | തൊമോമി | -| 04 | മെഷ്യൻ ലേണിങ്ങിന് ഉപയോഗിക്കുന്ന സാങ്കേതിക വിദ്യകൾ | [Introduction](1-Introduction/README.md) | മെഷ്യൻ ലേണിങ് ഗവേഷകർ ഉപയോഗിക്കുന്ന സാങ്കേതിക വിദ്യകൾ ഏതാണ്? | [Lesson](1-Introduction/4-techniques-of-ML/README.md) | ക്രിസ് ആൻഡ് ജെൻ | -| 05 | റെഗ്രഷനിലെ പരിചയം | [Regression](2-Regression/README.md) | റെഗ്രഷൻ മോഡലുകൾക്ക് Python, Scikit-learn ഉപയോഗിച്ച് ആരംഭിക്കുക | [Python](2-Regression/1-Tools/README.md) • [R](../../2-Regression/1-Tools/solution/R/lesson_1.html) | ജെൻ • എറിക് വാൻജൗ | -| 06 | നോർത്ത് അമേരിക്കൻ പമ്പ്കിൻ വിലകൾ 🎃 | [Regression](2-Regression/README.md) | മെഷ്യൻ ലേണിങ്ങിനായി ഡാറ്റ ക്ളീനിംഗും ദൃശ്യവത്കരണവും ചെയ്യുക | [Python](2-Regression/2-Data/README.md) • [R](../../2-Regression/2-Data/solution/R/lesson_2.html) | ജെൻ • എറിക് വാൻജൗ | -| 07 | നോർത്ത് അമേരിക്കൻ പമ്പ്കിൻ വിലകൾ 🎃 | [Regression](2-Regression/README.md) | ലീനിയർ, പോളിനോമിയൽ റെഗ്രഷൻ മോഡലുകൾ നിർമ്മിക്കുക | [Python](2-Regression/3-Linear/README.md) • [R](../../2-Regression/3-Linear/solution/R/lesson_3.html) | ജെൻ, ഡിമിട്രി • എറിക് വാൻജൗ | -| 08 | നോർത്ത് അമേരിക്കൻ പമ്പ്കിൻ വിലകൾ 🎃 | [Regression](2-Regression/README.md) | ഒരു ലൊജിസ്റ്റിക് റെഗ്രഷൻ മോഡൽ നിർമ്മിക്കുക | [Python](2-Regression/4-Logistic/README.md) • [R](../../2-Regression/4-Logistic/solution/R/lesson_4.html) | ജെൻ • എറിക് വാൻജൗ | -| 09 | ഒരു വെബ് ആപ്പ് 🔌 | [Web App](3-Web-App/README.md) | പരിശീലിപ്പിച്ച മോഡൽ ഉപയോഗിക്കുന്ന ഒരു വെബ് ആപ്പ് നിർമ്മിക്കുക | [Python](3-Web-App/1-Web-App/README.md) | ജെൻ | -| 10 | ക്ലാസിഫിക്കേഷനിൽ പരിചയം | [Classification](4-Classification/README.md) | ഡാറ്റ ശുദ്ധീകരിക്കുകയും പ്രോസസ്സ് ചെയ്ത് ദൃശ്യവത്കരിക്കുകയും ചെയ്യുക; ക്ലാസിഫിക്കേഷനിലേക്ക് പരിചയം | [Python](4-Classification/1-Introduction/README.md) • [R](../../4-Classification/1-Introduction/solution/R/lesson_10.html) | ജെൻ, കാസ്സി • എറിക് വാൻജൗ | -| 11 | ആസിയൻ, ഇന്ത്യൻ വിഭവങ്ങളുടെ രുചികൈകൾ 🍜 | [Classification](4-Classification/README.md) | ക്ലാസിഫയർമാരെ പരിചയപ്പെടുക | [Python](4-Classification/2-Classifiers-1/README.md) • [R](../../4-Classification/2-Classifiers-1/solution/R/lesson_11.html) | ജെൻ, കാസ്സി • എറിക് വാൻജൗ | -| 12 | ആസിയൻ, ഇന്ത്യൻ വിഭവങ്ങളുടെ രുചികൈകൾ 🍜 | [Classification](4-Classification/README.md) | കൂടുതൽ ക്ലാസിഫയർമാർ | [Python](4-Classification/3-Classifiers-2/README.md) • [R](../../4-Classification/3-Classifiers-2/solution/R/lesson_12.html) | ജെൻ, കാസ്സി • എറിക് വാൻജൗ | -| 13 | ആസിയൻ, ഇന്ത്യൻ വിഭവങ്ങളുടെ രുചികൈകൾ 🍜 | [Classification](4-Classification/README.md) | നിങ്ങളുടെ മോഡൽ ഉപയോഗിച്ച് ഒരു റികമന്‍ഡർ വെബ് ആപ്പ് നിർമ്മിക്കുക | [Python](4-Classification/4-Applied/README.md) | ജെൻ | -| 14 | ക്ലസ്റ്ററിംഗിൽ പരിചയം | [Clustering](5-Clustering/README.md) | ഡാറ്റ ശുദ്ധീകരിച്ച് പ്രോസസ്സ് ചെയ്ത് ദൃശ്യവത്കരിക്കുക; ക്ലസ്റ്ററിംഗിലേക്ക് പരിചയം | [Python](5-Clustering/1-Visualize/README.md) • [R](../../5-Clustering/1-Visualize/solution/R/lesson_14.html) | ജെൻ • എറിക് വാൻജൗ | -| 15 | നൈജീരിയൻ മ്യൂസിക്കൽ രുചികൾ അന്വേഷിക്കുന്നത് 🎧 | [Clustering](5-Clustering/README.md) | K-മീൻസ് ക്ലസ്റ്ററിംഗ് രീതിയെക്കുറിച്ച് പഠിക്കുക | [Python](5-Clustering/2-K-Means/README.md) • [R](../../5-Clustering/2-K-Means/solution/R/lesson_15.html) | ജെൻ • എറിക് വാൻജൗ | -| 16 | നാചുറൽ ലാംഗ്വേജ് പ്രോസസ്സിങ്ങിലേക്ക് പരിചയം ☕️ | [Natural language processing](6-NLP/README.md) | ലളിതമായ ഒരു ബോട്ട് നിർമ്മിച്ചുകൊണ്ട് NLP അടിസ്ഥാനങ്ങൾ പഠിക്കുക | [Python](6-NLP/1-Introduction-to-NLP/README.md) | സ്റ്റെഫൻ | -| 17 | പൊതുവായ NLP ടാസ്‌കുകൾ ☕️ | [Natural language processing](6-NLP/README.md) | ഭാഷാശാസ്ത്ര ഘടനകളുമായി ഇടപഴകുമ്പോൾ ആവശ്യമായ പൊതുവായ ടാസ്‌കുകൾ മനസിലാക്കി നിങ്ങളുടെ NLP അറിവ് മെച്ചപ്പെടുത്തുക | [Python](6-NLP/2-Tasks/README.md) | സ്റ്റെഫൻ | -| 18 | ഭാഷാന്തരവും സേന്റ്‌മെന്റ് അനാലിസിസും ♥️ | [Natural language processing](6-NLP/README.md) | ജെയിൻ ഓസ്റ്റനുമായി ഭാഷാന്തരവും സേന്റ്‌മെന്റ് അനാലിസിസും | [Python](6-NLP/3-Translation-Sentiment/README.md) | സ്റ്റെഫൻ | -| 19 | യൂറോപ്യൻ റോമാൻറിക് ഹോട്ടലുകൾ ♥️ | [Natural language processing](6-NLP/README.md) | ഹോട്ടൽ റിവ്യൂകൾ ഉപയോഗിച്ചുള്ള സേന്റ്‌മെന്റ് അനാലിസിസ് 1 | [Python](6-NLP/4-Hotel-Reviews-1/README.md) | സ്റ്റെഫൻ | -| 20 | യൂറോപ്യൻ റോമാൻറിക് ഹോട്ടലുകൾ ♥️ | [Natural language processing](6-NLP/README.md) | ഹോട്ടൽ റിവ്യൂകൾ ഉപയോഗിച്ചുള്ള സേന്റ്‌മെന്റ് അനാലിസിസ് 2 | [Python](6-NLP/5-Hotel-Reviews-2/README.md) | സ്റ്റെഫൻ | -| 21 | ടൈം സീരീസ് ഫോർകാസ്റ്റിങ്ങിലേക്ക് പരിചയം | [Time series](7-TimeSeries/README.md) | ടൈം സീരീസ് ഫോർകാസ്റ്റിങ്ങിലേക്ക് പരിചയം | [Python](7-TimeSeries/1-Introduction/README.md) | ഫ്രാൻസെസ്ക്കാ | -| 22 | ⚡️ വേൾഡ് പവർ ഉപയോഗം ⚡️ - ARIMA-യോടെ ടൈം സീരീസ് ഫോർകാസ്റ്റിംഗ് | [Time series](7-TimeSeries/README.md) | ARIMA ഉപയോഗിച്ച് ടൈം സീരീസ് ഫോർകാസ്‌റ്റിംഗ് | [Python](7-TimeSeries/2-ARIMA/README.md) | ഫ്രാൻസെസ്ക്കാ | -| 23 | ⚡️ വേൾഡ് പവർ ഉപയോഗം ⚡️ - SVR-യോടെ ടൈം സീരീസ് ഫോർകാസ്റ്റിംഗ് | [Time series](7-TimeSeries/README.md) | Support Vector Regressor ഉപയോഗിച്ച് ടൈം സീരീസ് ഫോർകാസ്റ്റിംഗ് | [Python](7-TimeSeries/3-SVR/README.md) | അനിർബാൻ | -| 24 | റയിൻഫോഴ്‌സ്‌മെന്റ് ലേണിങ്ങിലേക്ക് പരിചയം | [Reinforcement learning](8-Reinforcement/README.md) | Q-ലേണിങ്ങുമായി റയിൻഫോഴ്‌സ്‌മെന്റ് ലേണിങ് പരിചയപ്പെടുത്തൽ | [Python](8-Reinforcement/1-QLearning/README.md) | ഡിമിട്രി | -| 25 | പീറ്റർനെ അദ്ധമരിൽ നിന്നു രക്ഷിക്കൂ! 🐺 | [Reinforcement learning](8-Reinforcement/README.md) | റയിൻഫോഴ്‌സ്‌മെന്റ് ലേണിങ് ജിം | [Python](8-Reinforcement/2-Gym/README.md) | ഡിമിട്രി | -| Postscript | യഥാർത്ഥ ലോകത്തിലെ മെഷ്യൻ ലേണിങ് ഘടകങ്ങളും പ്രയോഗങ്ങളും | [ML in the Wild](9-Real-World/README.md) | ക്ലാസ്സിക്കൽ മെഷ്യൻ ലേണിങ്ങിന്റെ രസകരവും വെളിച്ചം ചൊരിയുന്ന യഥാർത്ഥ ലോക പ്രയോഗങ്ങൾ | [Lesson](9-Real-World/1-Applications/README.md) | ടീം | -| Postscript | RAI ഡാഷ്ബോർഡ് ഉപയോഗിച്ച് ML മോഡൽ ഡീബഗിംഗ് | [ML in the Wild](9-Real-World/README.md) | Responsible AI ഡാഷ്ബോർഡ് ഘടകങ്ങൾ ഉപയോഗിച്ച് മെഷീൻ ലേണിങ് മോഡലുകൾ ഡീബഗ് ചെയ്യൽ | [Lesson](9-Real-World/2-Debugging-ML-Models/README.md) | റുത്ത് യാകുബു | - -> [ഈ കോഴ്സിന്റെ എല്ലാ അധിക വിഭവങ്ങളും നമ്മുടെ Microsoft Learn ശേഖരത്തിൽ കണ്ടെത്തുക](https://learn.microsoft.com/en-us/collections/qrqzamz1nn2wx3?WT.mc_id=academic-77952-bethanycheum) - -## ഓഫ്‌ലൈൻ ആക്‌സസ് - -നിങ്ങൾക്ക് [Docsify](https://docsify.js.org/#/) ഉപയോഗിച്ച് ഈ ദസ്താവേധം ഓഫ്‌ലൈൻ പ്രവർത്തിപ്പിക്കാം. ഈ റിപ്പോ ഫോർക്കുചെയ്‌ത്, നിങ്ങളുടെ ലോകൽ മെഷീനിൽ [Docsify ഇൻസ്റ്റാൾ ചെയ്യുക](https://docsify.js.org/#/quickstart), പിന്നീട് ഈ റിപ്പോയുടെ റൂട്ട് ഫോൾഡറിൽ `docsify serve` എന്ന് ടൈപ്പ് ചെയ്യുക. വെബ്സൈറ്റ് പോർട്ട് 3000-ൽ ലോക്കൽഹോസ്റ്റിൽ സേവനമാകും: `localhost:3000`. - -## PDFകൾ - -കോഴ്സിന്റെ പിഡിഎഫ് രൂപം ലിങ്കുകളോടെ [ഇവിടെ കണ്ടെത്തൂ](https://microsoft.github.io/ML-For-Beginners/pdf/readme.pdf). +> **ഭാഷകളെ കുറിച്ചുള്ള കുറിപ്പ്**: ഈ പാഠങ്ങൾ പ്രധാനമായും Python ൽ എഴുതപ്പെട്ടിരിക്കുന്നു, എന്നാൽ R ലും ലഭ്യമാണ്. R പാഠം പൂര്‍ത്തിയാക്കാൻ, `/solution` ഫോൾഡറിൽ R പാഠങ്ങൾ കണ്ടുപിടിക്കുക. അവയ്ക്ക് .rmd വിപുലീകരണം ഉണ്ട്, ഇത് **R ഇറക്കുമതി** ഫയലിന്റെ രൂപത്തിൽ, `കોડ്ചാങ്ക്(കൂടാതെ മറ്റ് ഭാഷകളും)` ഉൾപ്പെടുത്തിയുള്ള Markdown രേഖയാണ്. ഇതിലൂടെ, കോഡ്, അതിന്റെ ഔട്ട്പുട്ടും നിങ്ങളുടെ വിചാരങ്ങളും Markdown ൽ লিখാനാകുന്നു. കൂടുതൽ, R Markdown രേഖകൾ PDF, HTML, Word തുടങ്ങിയ വിവിധ ഫോർമാറ്റുകളിൽ പ്രദർശിപ്പിക്കാം. +> **ക്വിസ് സംബന്ധിച്ച ഒരു കുറിപ്പ്**: എല്ലാ ക്വിസുകളും [Quiz App ഫോള്ഡറിൽ](../../quiz-app) അടങ്ങിയിരിക്കുന്നു, ഓരോതിലും മൂന്ന് ചോദ്യങ്ങളുള്ള മൊത്തം 52 ക്വിസുകളാണ്. ഇവ പാഠങ്ങളിൽ നിന്നു ബന്ധിപ്പിക്കപ്പെട്ടിട്ടുണ്ടെങ്കിലും ക്വിസ് ആപ്പ് ലോക്കലായി പ്രവർത്തിപ്പിക്കാവുന്നതാണ്; ലോക്കലായി ഹോസ്റ്റ് ചെയ്യുന്നതിനോ Azure-ലേക്ക് വിനിയോഗിക്കുന്നതിനോ `quiz-app` ഫോള്ഡറിലെ നിർദ്ദേശങ്ങൾ അനുഗമിക്കുക. + +| പാഠ നമ്പർ | വിഷയം | പാഠ ഗ്രൂപ്പിംഗ് | പഠന ലക്ഷ്യങ്ങൾ | ബന്ധിപ്പിച്ച പാഠം | രചയിതാവ് | +| :---------: | :------------------------------------------------------------: | :-------------------------------------------------: | ----------------------------------------------------------------------------------------------------------------------------- | :---------------------------------------------------------------------------------------------------------------------------------------: | :----------------------------------------------------: | +| 01 | മെഷീൻ ലേണിങ്ങിലേക്ക് പരിചയം | [Introduction](1-Introduction/README.md) | മെഷീൻ ലേണിങ്ങിന്റെ അടിസ്ഥാന ആശയങ്ങൾ പഠിക്കുക | [Lesson](1-Introduction/1-intro-to-ML/README.md) | മുഹമ്മദ് | +| 02 | മെഷീൻ ലേണിങ്ങിന്റെ ചരിത്രം | [Introduction](1-Introduction/README.md) | ഈ മേഖലയിലെ ചരിത്രം പഠിക്കുക | [Lesson](1-Introduction/2-history-of-ML/README.md) | ജെൻ ആൻഡ് എമി | +| 03 | ന്യായത്വവും മെഷീൻ ലേണിങ്ങും | [Introduction](1-Introduction/README.md) | മെഷീൻ ലേണിങ്ങ് മോഡലുകൾ നിർമ്മിക്കുന്നതിനും പ്രയോഗിക്കുന്നതിനും വിദ്യാർത്ഥികൾ പരിഗണിക്കേണ്ട പ്രധാന തത്ത്വപരമായ വിഷയങ്ങൾ എന്തെല്ലാം? | [Lesson](1-Introduction/3-fairness/README.md) | ടോമോമി | +| 04 | മെഷീൻ ലേണിങ്ങിനായുള്ള സാങ്കേതിക വിദ്യകൾ | [Introduction](1-Introduction/README.md) | മെഷീൻ ലേണിങ്ങ് ഗവേഷകരാണ് എങ്ങനെ മോഡലുകൾ നിർമ്മിക്കുന്നത്? | [Lesson](1-Introduction/4-techniques-of-ML/README.md) | ക്രിസ് ആൻഡ് ജെൻ | +| 05 | റെഗ്രഷനിലേക്ക് പരിചയം | [Regression](2-Regression/README.md) | റെഗ്രഷൻ മോഡലുകൾക്കായുള്ള Python, Scikit-learn ഉപയോഗം ആരംഭിക്കുക | [Python](2-Regression/1-Tools/README.md) • [R](../../2-Regression/1-Tools/solution/R/lesson_1.html) | ജെൻ • എറിക് വാൻജൗ | +| 06 | നോർത്ത് അമേരിക്കൻ പംപ്കിൻ വിലകൾ 🎃 | [Regression](2-Regression/README.md) | മെഷീൻ ലേണിങ്ങിനായി ഡാറ്റാ വിസ്വലൈസ് ചെയ്ത് ശുദ്ധമാക്കുക | [Python](2-Regression/2-Data/README.md) • [R](../../2-Regression/2-Data/solution/R/lesson_2.html) | ജെൻ • എറിക് വാൻജൗ | +| 07 | നോർത്ത് അമേരിക്കൻ പംപ്കിൻ വിലകൾ 🎃 | [Regression](2-Regression/README.md) | ലീനിയർ, പോളിനോമ്യൽ റെഗ്രഷൻ മോഡലുകൾ നിർമ്മിക്കുക | [Python](2-Regression/3-Linear/README.md) • [R](../../2-Regression/3-Linear/solution/R/lesson_3.html) | ജെൻ ആൻഡ് ഡിമിത്രി • എറിക് വാൻജൗ | +| 08 | നോർത്ത് അമേരിക്കൻ പംപ്കിൻ വിലകൾ 🎃 | [Regression](2-Regression/README.md) | ലജിസ്റ്റിക് റെഗ്രഷൻ മോഡൽ നിർമ്മിക്കുക | [Python](2-Regression/4-Logistic/README.md) • [R](../../2-Regression/4-Logistic/solution/R/lesson_4.html) | ജെൻ • എറിക് വാൻജൗ | +| 09 | ഒരു വെബ് ആപ്പ് 🔌 | [Web App](3-Web-App/README.md) | പരിശീലിപ്പിച്ച മോഡൽ ഉപയോഗിക്കുന്ന വെബ് ആപ്പ് നിർമ്മിക്കുക | [Python](3-Web-App/1-Web-App/README.md) | ജെൻ | +| 10 | ക്ലാസിഫിക്കേഷനിലേക്ക് പരിചയം | [Classification](4-Classification/README.md) | നിങ്ങളുടെ ഡാറ്റ ശുദ്ധീകരിക്കുക, തയ്യാറാക്കുക, വിസ്വലൈസ് ചെയ്യുക; ക്ലാസിഫിക്കേഷൻ വൈകാരികമായി പരിചയപ്പെടുക | [Python](4-Classification/1-Introduction/README.md) • [R](../../4-Classification/1-Introduction/solution/R/lesson_10.html) | ജെൻ ആൻഡ് കാസ്സി • എറിക് വാൻജൗ | +| 11 | രുചികരമായ ഏഷ്യൻ, ഇന്ത്യൻ ഭക്ഷണങ്ങൾ 🍜 | [Classification](4-Classification/README.md) | ക്ലാസിഫയർസിന്റെ പരിചയപ്പെടുത്തൽ | [Python](4-Classification/2-Classifiers-1/README.md) • [R](../../4-Classification/2-Classifiers-1/solution/R/lesson_11.html) | ജെൻ ആൻഡ് കാസ്സി • എറിക് വാൻജൗ | +| 12 | രുചികരമായ ഏഷ്യൻ, ഇന്ത്യൻ ഭക്ഷണങ്ങൾ 🍜 | [Classification](4-Classification/README.md) | കൂടുതൽ ക്ലാസിഫയർസുകൾ | [Python](4-Classification/3-Classifiers-2/README.md) • [R](../../4-Classification/3-Classifiers-2/solution/R/lesson_12.html) | ജെൻ ആൻഡ് കാസ്സി • എറിക് വാൻജൗ | +| 13 | രുചികരമായ ഏഷ്യൻ, ഇന്ത്യൻ ഭക്ഷണങ്ങൾ 🍜 | [Classification](4-Classification/README.md) | നിങ്ങളുടെ മോഡൽ ഉപയോഗിച്ച് റിക്കമന്റർ വെബ് ആപ്പ് നിർമ്മിക്കുക | [Python](4-Classification/4-Applied/README.md) | ജെൻ | +| 14 | ക്ലസ്റ്ററിംഗിലേക്ക് പരിചയം | [Clustering](5-Clustering/README.md) | നിങ്ങളുടെ ഡാറ്റ ശുദ്ധമാക്കുക, തയ്യാറാക്കുക, വിസ്വലൈസ് ചെയ്യുക; ക്ലസ്റ്ററിംഗിലേക്ക് പരിചയം | [Python](5-Clustering/1-Visualize/README.md) • [R](../../5-Clustering/1-Visualize/solution/R/lesson_14.html) | ജെൻ • എറിക് വാൻജൗ | +| 15 | നൈജീരിയൻ സംഗീത രുചികൾ അന്വേഷിക്കുക 🎧 | [Clustering](5-Clustering/README.md) | K-മീന്സ് ക്ലസ്റ്ററിംഗ് രീതി അന്വേഷിക്കുക | [Python](5-Clustering/2-K-Means/README.md) • [R](../../5-Clustering/2-K-Means/solution/R/lesson_15.html) | ജെൻ • എറിക് വാൻജൗ | +| 16 | സ്വാഭാവിക ഭാഷാ പ്രോസസ്സിങ്ങിലേക്ക് പരിചയം ☕️ | [Natural language processing](6-NLP/README.md) | ലളിതമായ ബോട്ട് നിർമ്മിച്ച് NLP അടിസ്ഥാനങ്ങൾ പഠിക്കുക | [Python](6-NLP/1-Introduction-to-NLP/README.md) | സ്റ്റീഫൻ | +| 17 | പൊതു NLP ജോലികൾ ☕️ | [Natural language processing](6-NLP/README.md) | ഭാഷാസംഘടനകളുമായി ഇടപഴകുന്നതിനുള്ള സാധാരണ ജോലികൾ മനസ്സിലാക്കുന്നതിലൂടെ NLP അറിവ് ഗાઢമാക്കുക | [Python](6-NLP/2-Tasks/README.md) | സ്റ്റീഫൻ | +| 18 | വിധാനം, വികാര വിശകലനം ♥️ | [Natural language processing](6-NLP/README.md) | ജെയ്ൻ ഓസ്റ്റന്റെ എഴുത്തുകളിലൂടെ വിവർത്തനവും വികാര വിശകലനവും | [Python](6-NLP/3-Translation-Sentiment/README.md) | സ്റ്റീഫൻ | +| 19 | യൂറോപ്പിലെ പ്രണയ ഹോട്ടലുകൾ ♥️ | [Natural language processing](6-NLP/README.md) | ഹോട്ടൽ റിവ്യൂസ് ഉപയോഗിച്ചുള്ള വികാര വിശകലനത്തിന്റെ തുടക്ക Python കോഴ്‌സ് | [Python](6-NLP/4-Hotel-Reviews-1/README.md) | സ്റ്റീഫൻ | +| 20 | യൂറോപ്പിലെ പ്രണയ ഹോട്ടലുകൾ ♥️ | [Natural language processing](6-NLP/README.md) | ഹോട്ടൽ റിവ്യൂസ് ഉപയോഗിച്ചുള്ള വികാര വിശകലനത്തിന്റെ രണ്ടാം ഭാഗം | [Python](6-NLP/5-Hotel-Reviews-2/README.md) | സ്റ്റീഫൻ | +| 21 | ടൈം സീരീസ് ഫോറ്കാസ്റ്റിംഗിലേക്ക് പരിചയം | [Time series](7-TimeSeries/README.md) | ടൈം സീരീസ് ഫോറ്കാസ്റ്റിംഗിന്റെ പരിചയം | [Python](7-TimeSeries/1-Introduction/README.md) | ഫ്രാൻസസ്ക | +| 22 | ⚡️ ലോക വൈദ്യുതി ഉപയോഗം ⚡️ - ARIMA ഉപയോഗിച്ചുള്ള ടൈം സീരീസ് ഫോറ്കാസ്റ്റിംഗ് | [Time series](7-TimeSeries/README.md) | ARIMA ഉപയോഗിച്ചുള്ള ടൈം സീരീസ് ഫോറ്കാസ്റ്റിംഗ് | [Python](7-TimeSeries/2-ARIMA/README.md) | ഫ്രാൻസസ്ക | +| 23 | ⚡️ ലോക വൈദ്യുതി ഉപയോഗം ⚡️ - SVR ഉപയോഗിച്ചുള്ള ടൈം സീരീസ് ഫോറ്കാസ്റ്റിംഗ് | [Time series](7-TimeSeries/README.md) | Support Vector Regressor ഉപയോഗിച്ചുള്ള ടൈം സീരീസ് ഫോറ്കാസ്റ്റിംഗ് | [Python](7-TimeSeries/3-SVR/README.md) | അനിർബാൻ | +| 24 | റിന്ഫോഴ്സ്മെന്റ് ലേണിങ്ങിലേക്ക് പരിചയം | [Reinforcement learning](8-Reinforcement/README.md) | Q-ലേണിംഗ് ഉപയോഗിച്ചുള്ള റിന്ഫോഴ്സ്മെന്റ് ലേണിങ്ങിന്റെ പരിചയം | [Python](8-Reinforcement/1-QLearning/README.md) | ഡിമിറ്റ്രി | +| 25 | പീറ്ററെ കടുവയിൽ നിന്ന് രക്ഷിക്കുക! 🐺 | [Reinforcement learning](8-Reinforcement/README.md) | റിന്ഫോഴ്സ്മെന്റ് ലേണിങ്ങ് ജിം | [Python](8-Reinforcement/2-Gym/README.md) | ഡിമിറ്റ്രി | +| Postscript | യാഥാർത്ഥ്യ ML സാഹചര്യംകളും പ്രയോഗങ്ങളുമാണ് | [ML in the Wild](9-Real-World/README.md) | ക്ലാസിക്കല് ML ന്റെ രസകരവും വെളിവും നൽകുന്ന യഥാർത്ഥ ലോക പ്രയോഗങ്ങൾ | [Lesson](9-Real-World/1-Applications/README.md) | ടീം | +| Postscript | ML മോഡൽ ഡീബഗിങ്ങ് RAI ഡാഷ്ബോർഡ് ഉപയോഗിച്ച് | [ML in the Wild](9-Real-World/README.md) | ഉത്തരവാദായ AI ഡാഷ്ബോർഡ് ഘടകങ്ങൾ ഉപയോഗിച്ച് യന്ത്രവിദ്യാഭ്യാസ മോഡൽ ഡീബഗിങ്ങ് | [Lesson](9-Real-World/2-Debugging-ML-Models/README.md) | റുത്ത് യാകുബു | + +> [ഈ കോഴ്സിന് വേണ്ടി മറ്റു എല്ലാ അധിക വിഭവങ്ങളും Microsoft Learn ശേഖരത്തിൽ കാണുക](https://learn.microsoft.com/en-us/collections/qrqzamz1nn2wx3?WT.mc_id=academic-77952-bethanycheum) + +## ഓഫ്‌ലൈൻ പ്രാപ്യത + +[Docsify](https://docsify.js.org/#/) ഉപയോഗിച്ച് ഈ ഡോക്യുമെന്റേഷൻ ഓഫ്‌ലൈൻ പ്രവർത്തിപ്പിക്കാം. ഈ റിപോ ഫോർക്കുചെയ്ത്, നിങ്ങളുടെ ലോക്കൽ മെഷീനിൽ [Docsify ഇൻസ്റ്റാൾ ചെയ്യുക](https://docsify.js.org/#/quickstart), പിന്നെ ഈ റിപോയുടെ റൂട്ട് ഫോൾഡറിൽ `docsify serve` എന്ന് ടൈപ്പ് ചെയ്യുക. വെബ്സൈറ്റ് നിങ്ങളുടെ ലോക്കൽ ہوس്റ്റിൽ 3000 നമ്പർ പോർട്ടിൽ ലഭ്യമാണ്: `localhost:3000`. + +## PDF-കൾ + +കറിക്കുലംയുടെ PDF ലിങ്ക് [ഇവിടെ](https://microsoft.github.io/ML-For-Beginners/pdf/readme.pdf) ലഭ്യമാണ്. ## 🎒 മറ്റ് കോഴ്സുകൾ -നമ്മുടെ ടീം മറ്റ് കോഴ്സുകളും ഉല്പാദിപ്പിക്കുന്നു! പരിശോധിക്കുക: - - -### LangChain -[![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) -[![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) - ---- - -### Azure / Edge / MCP / Agents -[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) -[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) - ---- - -### Generative AI Series -[![ആരംഭക്കാർക്കായുള്ള ജനനാത്മക AI](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![ജനനാത്മക AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) -[![ജനനാത്മക AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) -[![ജനനാത്മക AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) +ഞങ്ങളുടെ ടീം മറ്റ് കോഴ്സുകളും നിർമ്മിക്കുന്നു! പരിശോധിക്കൂ: +[![ആരംഭകർക്ക് ജനറേറ്റീവ് AI](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![ജനറേറ്റീവ് AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) +[![ജനറേറ്റീവ് AI (ജാവ)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) +[![ജനറേറ്റീവ് AI (ജാവാസ്ക്രിപ്റ്റ്)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) --- -### പ്രധാന പഠനം -[![ആരംഭക്കാർക്കായുള്ള ML](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) -[![ആരംഭക്കാർക്കായുള്ള ഡാറ്റാ സയൻസ്](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) -[![ആരംഭക്കാർക്കായുള്ള AI](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) -[![ആരംഭക്കാർക്കായുള്ള സൈബർസുരക്ഷ](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) -[![ആരംഭക്കാർക്കായുള്ള വെബ് വികസനം](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) -[![ആരംഭക്കാർക്കായുള്ള ഐഒടി](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) -[![ആരംഭക്കാർക്കായുള്ള XR വികസനം](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) +### മുക്കട്ട് പഠനങ്ങൾ +[![ആദ്യകാലത്തിന് ML](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) +[![ഡാറ്റാ സയൻസ് ആരംഭകർക്ക്](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) +[![ആദ്യകാലത്തിന് AI](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) +[![സൈബർസെക്യൂരിറ്റി ആദ്യകാലത്തിന്](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) +[![വെബ് ഡെവ് ആദ്യകാലത്തിന്](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) +[![IoT ആരംഭകർക്ക്](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) +[![XR ഡെവലപ്മെന്റ് ആദ്യകാലത്തിന്](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- -### കോപൈലറ്റ് പരമ്പര -[![AI കൂട്ടായ്മാ പ്രോഗ്രാമിംഗിനായുള്ള കോപൈലറ്റ്](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) -[![C#/.NET-നുള്ള കോപൈലറ്റ്](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) -[![കോപൈലറ്റ് സാഹസം](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) +### കപൈലറ്റ് പരമ്പരകൾ +[![AI ചേർന്ന പ്രോഗ്രാമിംഗിന് കപൈലറ്റ്](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +[![C#/.NET കപൈലറ്റ്](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) +[![കപൈലറ്റ് സാഹസം](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) -## സഹായം ലഭിക്കുന്നതു് +## സഹായം നേടുക -നിങ്ങള്‍ AI ആപ്ലിക്കേഷനുകള്‍ നിര്‍മ്മിക്കുമ്പോള്‍ തടസ്സപ്പെടുകയോ ഏതെങ്കിലും ചോദ്യം ഉണ്ടാവുകയോ ചെയ്താല്‍. MCP-യുമായി ബന്ധപ്പെട്ട അനുഭവസമ്പന്നരായ ഡെവലപ്പര്‍മാരും പഠിക്കുന്നവരുമായ കൂട്ടായ്മയില്‍ പങ്കെടുക്കുക. ചോദ്യങ്ങള്‍ക്ക് സ്വീകാര്യതയുള്ളതും അറിവ് സ്വതന്ത്രമായി പങ്കുവെക്കുന്നും ഒരു പിന്തുണയുള്ള സമൂഹം ഇത്. +AI ആപ്ലിക്കേഷനുകൾ നിർമിക്കാൻ ശ്രമിക്കുമ്പോൾ തകർന്ന് പോയോ അല്ലെങ്കിൽ എന്തെങ്കിലും ചോദ്യങ്ങൾ ഉണ്ടായിരിക്കുന്നുവോ? MCP-യുമായി ബന്ധപ്പെട്ട ചര്‍ച്ചകളിൽ അനുഭാവികളും പരിചയസമ്പന്നരുമായ ഡവലപ്പർമാരെ അംഗങ്ങളായുള്ള സമൂഹത്തിൽ ചേരുക. ഇത് ചോദ്യങ്ങൾ സ്വാഗതം ചെയ്യുന്നും സ്വതന്ത്രമായി അറിവ് പങ്കിടുന്ന ഒരു പിന്തുണയുള്ള കമ്മ്യൂണിറ്റിയാണ്. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -നിങ്ങള്‍ക്ക് ഉല്‍പ്പന്നത്തിന്റെ പ്രതികരണമോ നിര്‍മ്മാണ സമയത്ത് പിശകുകളോ ഉണ്ടെങ്കില്‍, സന്ദര്‍ശിക്കുക: +ഉൽപ്പന്ന ഫീഡ്ബാക്ക് നൽകാനോ നിർമ്മിക്കുന്നിടത്തും പിശകുകൾ ഉണ്ടെങ്കിൽ സന്ദർശിക്കുക: [![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) --- -**അസാധുവാക്കൽ**: -ഈ പ്രമാണം AI പരിഭാഷാ സേവനം [Co-op Translator](https://github.com/Azure/co-op-translator) ഉപയോഗിച്ചു പരിഭാഷപ്പെടുത്തപ്പെട്ടതാണ്. ഞങ്ങൾ കൃത്യതയ്ക്കായി പരിശ്രമിച്ചാലും, സ്വയം പ്രവർത്തിക്കുന്ന പരിഭാഷകളിൽ പിഴവുകൾ അല്ലെങ്കിൽ തെറ്റിച്ചെപ്പുകൾ ഉണ്ടാകാമെന്ന് ദയവായി ശ്രദ്ധിക്കുക. പ്രമാണത്തിന്റെ അസൽ ഭാഷയിലാണ് പ്രാമാണിക ഉറവിടം എന്ന് കാണണം. അത്യാവശ്യമുള്ള വിവരങ്ങൾക്ക് പ്രൊഫഷണൽ മാനവ പരിഭാഷ ശിപാർശ ചെയ്യപ്പെടുന്നു. ഈ പരിഭാഷ ഉപയോഗത്തിൽ നിന്നുണ്ടാകുന്ന ഏതെങ്കിലും പൈരവലക്ഷണംകൾക്കോ വ്യക്തമായ തെറ്റിഷ്ടങ്ങൾക്കോ ഞങ്ങൾ ഉത്തരവാദികളല്ല. +**പരാമർശം**: +ഈ രേഖ AI പരിഭാഷാ സേവനം [Co-op Translator](https://github.com/Azure/co-op-translator) ഉപയോഗിച്ച് പരിഭാഷപ്പെടുത്തിയതാണ്. നമുക്ക് യഥാർത്ഥതയിലേക്ക് ശ്രദ്ധ払ിക്കുന്നതിനായിരിക്കെ, ഓട്ടോമാറ്റഡ് പരിഭാഷകളിൽ എങ്കിലും പിശകുകൾ അല്ലെങ്കിൽ അമിതരൂപിടലുകൾ ഉണ്ടാകാമെന്ന് ദയവായി അറിയുക. മൊഴിമാറ്റത്തിന് ഉള്ള મૂળ രേഖ അതിന്റെ സ്വന്തം ഭാഷയിൽ മാന്യമായ ഉറവിടമായി പരിഗണിക്കണം. പ്രധാനപ്പെട്ട വിവരങ്ങൾക്കായി, വിദഗ്ധ മാനവ പരിഭാഷ നിർദ്ദേശിക്കപ്പെടുന്നു. ഈ പരിഭാഷയുടെ ഉപയോഗത്തിൽ നിന്നുണ്ടാകുന്നത് ഏതെങ്കിലും തെറ്റു ധാരണകൾക്കും തെറ്റായ വ്യാഖ്യാനങ്ങൾക്കും ഞങ്ങൾ ഉത്തരവാദിത്വം വഹിക്കില്ല. \ No newline at end of file diff --git a/translations/ml/SECURITY.md b/translations/ml/SECURITY.md index 22e1d4086..5f9be986d 100644 --- a/translations/ml/SECURITY.md +++ b/translations/ml/SECURITY.md @@ -1,12 +1,3 @@ - ## Security Microsoft നമ്മുടെ സോഫ്റ്റ്വെയർ ഉൽപ്പന്നങ്ങളും സേവനങ്ങളും സുരക്ഷിതമാക്കുന്നതിൽ ഗൗരവമുണ്ട്, ഇതിൽ നമ്മുടെ GitHub സംഘടനകൾ വഴി നിയന്ത്രിക്കുന്ന എല്ലാ സോഴ്‌സ് കോഡ് റിപോസിറ്ററികളും ഉൾപ്പെടുന്നു, അവയിൽ [Microsoft](https://github.com/Microsoft), [Azure](https://github.com/Azure), [DotNet](https://github.com/dotnet), [AspNet](https://github.com/aspnet), [Xamarin](https://github.com/xamarin), കൂടാതെ [നമ്മുടെ GitHub സംഘടനകൾ](https://opensource.microsoft.com/) ഉൾപ്പെടുന്നു. diff --git a/translations/ml/SUPPORT.md b/translations/ml/SUPPORT.md index 329e5e13c..d9579651d 100644 --- a/translations/ml/SUPPORT.md +++ b/translations/ml/SUPPORT.md @@ -1,12 +1,3 @@ - # പിന്തുണ ## പ്രശ്നങ്ങൾ ഫയൽ ചെയ്യാനും സഹായം ലഭിക്കാനും diff --git a/translations/ml/TROUBLESHOOTING.md b/translations/ml/TROUBLESHOOTING.md index ce82181ec..2c56aea9b 100644 --- a/translations/ml/TROUBLESHOOTING.md +++ b/translations/ml/TROUBLESHOOTING.md @@ -1,12 +1,3 @@ - # പ്രശ്നപരിഹാര ഗൈഡ് Machine Learning for Beginners പാഠ്യപദ്ധതിയുമായി ജോലി ചെയ്യുമ്പോൾ സാധാരണയായി നേരിടുന്ന പ്രശ്നങ്ങൾ പരിഹരിക്കാൻ ഈ ഗൈഡ് സഹായിക്കും. ഇവിടെ പരിഹാരം കണ്ടെത്താനാകുന്നില്ലെങ്കിൽ, ദയവായി ഞങ്ങളുടെ [Discord Discussions](https://aka.ms/foundry/discord) പരിശോധിക്കുക അല്ലെങ്കിൽ [ഒരു പ്രശ്നം തുറക്കുക](https://github.com/microsoft/ML-For-Beginners/issues). diff --git a/translations/ml/docs/_sidebar.md b/translations/ml/docs/_sidebar.md index ae8a74704..ddea42517 100644 --- a/translations/ml/docs/_sidebar.md +++ b/translations/ml/docs/_sidebar.md @@ -1,12 +1,3 @@ - - പരിചയം - [മെഷീൻ ലേണിങ്ങിലേക്ക് പരിചയം](../1-Introduction/1-intro-to-ML/README.md) - [മെഷീൻ ലേണിങ്ങിന്റെ ചരിത്രം](../1-Introduction/2-history-of-ML/README.md) diff --git a/translations/ml/for-teachers.md b/translations/ml/for-teachers.md index b2b9a2d44..f31c6d272 100644 --- a/translations/ml/for-teachers.md +++ b/translations/ml/for-teachers.md @@ -1,12 +1,3 @@ - ## അധ്യാപകര്‍ക്കായി ഈ പാഠ്യപദ്ധതി നിങ്ങളുടെ ക്ലാസ്സില്‍ ഉപയോഗിക്കണോ? ദയവായി സ്വതന്ത്രമായി ഉപയോഗിക്കൂ! diff --git a/translations/ml/quiz-app/README.md b/translations/ml/quiz-app/README.md index 9533689aa..a7c75b06b 100644 --- a/translations/ml/quiz-app/README.md +++ b/translations/ml/quiz-app/README.md @@ -1,12 +1,3 @@ - # ക്വിസുകൾ ഈ ക്വിസുകൾ https://aka.ms/ml-beginners ലെ ML പാഠ്യപദ്ധതിക്കുള്ള പ്രീ-ലക്ചർ, പോസ്റ്റ്-ലക്ചർ ക്വിസുകളാണ് diff --git a/translations/ml/sketchnotes/LICENSE.md b/translations/ml/sketchnotes/LICENSE.md index e501f5e46..f4c6cdffb 100644 --- a/translations/ml/sketchnotes/LICENSE.md +++ b/translations/ml/sketchnotes/LICENSE.md @@ -1,12 +1,3 @@ - അട്രിബ്യൂഷൻ-ഷെയർഅലൈക്ക് 4.0 ഇന്റർനാഷണൽ ======================================================================= diff --git a/translations/ml/sketchnotes/README.md b/translations/ml/sketchnotes/README.md index b15a42f82..e5a6f9431 100644 --- a/translations/ml/sketchnotes/README.md +++ b/translations/ml/sketchnotes/README.md @@ -1,12 +1,3 @@ - എല്ലാ പാഠ്യപദ്ധതിയുടെ സ്കെച്ച്നോട്ടുകളും ഇവിടെ ഡൗൺലോഡ് ചെയ്യാം. 🖨 ഉയർന്ന റെസല്യൂഷനിൽ പ്രിന്റ് ചെയ്യുന്നതിനായി, TIFF പതിപ്പുകൾ [ഈ റിപോയിൽ](https://github.com/girliemac/a-picture-is-worth-a-1000-words/tree/main/ml/tiff) ലഭ്യമാണ്. diff --git 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b/translations/te/1-Introduction/1-intro-to-ML/README.md @@ -1,12 +1,3 @@ - # మెషీన్ లెర్నింగ్ పరిచయం ## [ప్రీ-లెక్చర్ క్విజ్](https://ff-quizzes.netlify.app/en/ml/) diff --git a/translations/te/1-Introduction/1-intro-to-ML/assignment.md b/translations/te/1-Introduction/1-intro-to-ML/assignment.md index 5086969a5..cf211d750 100644 --- a/translations/te/1-Introduction/1-intro-to-ML/assignment.md +++ b/translations/te/1-Introduction/1-intro-to-ML/assignment.md @@ -1,12 +1,3 @@ - # Get Up and Running ## సూచనలు diff --git a/translations/te/1-Introduction/2-history-of-ML/README.md b/translations/te/1-Introduction/2-history-of-ML/README.md index e788d1a0c..6bde3eef5 100644 --- a/translations/te/1-Introduction/2-history-of-ML/README.md +++ b/translations/te/1-Introduction/2-history-of-ML/README.md @@ -1,12 +1,3 @@ - # మెషీన్ లెర్నింగ్ చరిత్ర ![మెషీన్ లెర్నింగ్ చరిత్ర యొక్క సారాంశం స్కెచ్ నోట్‌లో](../../../../translated_images/te/ml-history.a1bdfd4ce1f464d9.webp) diff --git a/translations/te/1-Introduction/2-history-of-ML/assignment.md b/translations/te/1-Introduction/2-history-of-ML/assignment.md index bbb5f2401..026bda8d9 100644 --- a/translations/te/1-Introduction/2-history-of-ML/assignment.md +++ b/translations/te/1-Introduction/2-history-of-ML/assignment.md @@ -1,12 +1,3 @@ - # టైమ్‌లైన్ సృష్టించండి ## సూచనలు diff --git a/translations/te/1-Introduction/3-fairness/README.md b/translations/te/1-Introduction/3-fairness/README.md index 10043be6c..c0bd3cebf 100644 --- a/translations/te/1-Introduction/3-fairness/README.md +++ b/translations/te/1-Introduction/3-fairness/README.md @@ -1,12 +1,3 @@ - # బాధ్యతాయుత AIతో మెషీన్ లెర్నింగ్ పరిష్కారాలను నిర్మించడం ![మెషీన్ లెర్నింగ్‌లో బాధ్యతాయుత AI యొక్క సారాంశం స్కెచ్ నోట్](../../../../translated_images/te/ml-fairness.ef296ebec6afc98a.webp) diff --git a/translations/te/1-Introduction/3-fairness/assignment.md b/translations/te/1-Introduction/3-fairness/assignment.md index 0f4242c8e..1899ecf4d 100644 --- a/translations/te/1-Introduction/3-fairness/assignment.md +++ b/translations/te/1-Introduction/3-fairness/assignment.md @@ -1,12 +1,3 @@ - # బాధ్యతాయుత AI టూల్‌బాక్స్‌ను అన్వేషించండి ## సూచనలు diff --git a/translations/te/1-Introduction/4-techniques-of-ML/README.md b/translations/te/1-Introduction/4-techniques-of-ML/README.md index 835fcbc77..6e9e6297a 100644 --- a/translations/te/1-Introduction/4-techniques-of-ML/README.md +++ b/translations/te/1-Introduction/4-techniques-of-ML/README.md @@ -1,12 +1,3 @@ - # మెషీన్ లెర్నింగ్ సాంకేతికతలు మెషీన్ లెర్నింగ్ మోడల్స్ మరియు అవి ఉపయోగించే డేటాను నిర్మించడం, ఉపయోగించడం మరియు నిర్వహించడం అనేది అనేక ఇతర అభివృద్ధి వర్క్‌ఫ్లోల నుండి చాలా భిన్నమైన ప్రక్రియ. ఈ పాఠంలో, మేము ఈ ప్రక్రియను సులభతరం చేస్తాము, మరియు మీరు తెలుసుకోవలసిన ప్రధాన సాంకేతికతలను వివరించబోతున్నాము. మీరు: diff --git a/translations/te/1-Introduction/4-techniques-of-ML/assignment.md b/translations/te/1-Introduction/4-techniques-of-ML/assignment.md index ae781d9a2..72866b840 100644 --- a/translations/te/1-Introduction/4-techniques-of-ML/assignment.md +++ b/translations/te/1-Introduction/4-techniques-of-ML/assignment.md @@ -1,12 +1,3 @@ - # డేటా సైంటిస్ట్‌ను ఇంటర్వ్యూ చేయండి ## సూచనలు diff --git a/translations/te/1-Introduction/README.md b/translations/te/1-Introduction/README.md index 60aa27670..795897d6b 100644 --- a/translations/te/1-Introduction/README.md +++ b/translations/te/1-Introduction/README.md @@ -1,12 +1,3 @@ - # మెషీన్ లెర్నింగ్ పరిచయం ఈ పాఠ్యాంశంలో, మీరు మెషీన్ లెర్నింగ్ రంగానికి ఆధారమైన మూల భావనలను, అది ఏమిటి, మరియు పరిశోధకులు దీని తో పని చేయడానికి ఉపయోగించే చరిత్ర మరియు సాంకేతికతలను తెలుసుకుంటారు. ఈ కొత్త ML ప్రపంచాన్ని కలిసి అన్వేషిద్దాం! diff --git a/translations/te/2-Regression/1-Tools/README.md b/translations/te/2-Regression/1-Tools/README.md index 47e010358..cd44f9b7a 100644 --- a/translations/te/2-Regression/1-Tools/README.md +++ b/translations/te/2-Regression/1-Tools/README.md @@ -1,12 +1,3 @@ - # రిగ్రెషన్ మోడల్స్ కోసం Python మరియు Scikit-learn తో ప్రారంభించండి ![Summary of regressions in a sketchnote](../../../../translated_images/te/ml-regression.4e4f70e3b3ed446e.webp) diff --git a/translations/te/2-Regression/1-Tools/assignment.md b/translations/te/2-Regression/1-Tools/assignment.md index 770d2d96f..5075c0abd 100644 --- a/translations/te/2-Regression/1-Tools/assignment.md +++ b/translations/te/2-Regression/1-Tools/assignment.md @@ -1,12 +1,3 @@ - # Scikit-learn తో రిగ్రెషన్ ## సూచనలు diff --git a/translations/te/2-Regression/1-Tools/solution/Julia/README.md b/translations/te/2-Regression/1-Tools/solution/Julia/README.md index 65f2c2b96..e0cdc7dde 100644 --- a/translations/te/2-Regression/1-Tools/solution/Julia/README.md +++ b/translations/te/2-Regression/1-Tools/solution/Julia/README.md @@ -1,12 +1,3 @@ - ఇది తాత్కాలిక ప్లేస్‌హోల్డర్‌입니다 --- diff --git a/translations/te/2-Regression/2-Data/README.md b/translations/te/2-Regression/2-Data/README.md index 22003f6d9..5be610bf7 100644 --- a/translations/te/2-Regression/2-Data/README.md +++ b/translations/te/2-Regression/2-Data/README.md @@ -1,12 +1,3 @@ - # Scikit-learn ఉపయోగించి రిగ్రెషన్ మోడల్ నిర్మించండి: డేటాను సిద్ధం చేయండి మరియు విజువలైజ్ చేయండి ![డేటా విజువలైజేషన్ ఇన్ఫోగ్రాఫిక్](../../../../translated_images/te/data-visualization.54e56dded7c1a804.webp) diff --git a/translations/te/2-Regression/2-Data/assignment.md b/translations/te/2-Regression/2-Data/assignment.md index 9337c86b1..9ac53d344 100644 --- a/translations/te/2-Regression/2-Data/assignment.md +++ b/translations/te/2-Regression/2-Data/assignment.md @@ -1,12 +1,3 @@ - # విజువలైజేషన్ల అన్వేషణ డేటా విజువలైజేషన్ కోసం అందుబాటులో ఉన్న అనేక విభిన్న లైబ్రరీలు ఉన్నాయి. ఈ పాఠంలో ఉన్న Pumpkin డేటాను ఉపయోగించి matplotlib మరియు seaborn తో కొన్ని విజువలైజేషన్లు సృష్టించండి ఒక నమూనా నోట్‌బుక్‌లో. ఏ లైబ్రరీలు ఉపయోగించడానికి సులభంగా ఉంటాయి? diff --git a/translations/te/2-Regression/2-Data/solution/Julia/README.md b/translations/te/2-Regression/2-Data/solution/Julia/README.md index bb68b6c3d..e0cdc7dde 100644 --- a/translations/te/2-Regression/2-Data/solution/Julia/README.md +++ b/translations/te/2-Regression/2-Data/solution/Julia/README.md @@ -1,12 +1,3 @@ - ఇది తాత్కాలిక ప్లేస్‌హోల్డర్‌입니다 --- diff --git a/translations/te/2-Regression/3-Linear/README.md b/translations/te/2-Regression/3-Linear/README.md index 3f4de0822..018d36bc7 100644 --- a/translations/te/2-Regression/3-Linear/README.md +++ b/translations/te/2-Regression/3-Linear/README.md @@ -1,12 +1,3 @@ - # Scikit-learn ఉపయోగించి రిగ్రెషన్ మోడల్ నిర్మించండి: రిగ్రెషన్ నాలుగు విధానాలు ![లీనియర్ vs పాలినోమియల్ రిగ్రెషన్ ఇన్ఫోగ్రాఫిక్](../../../../translated_images/te/linear-polynomial.5523c7cb6576ccab.webp) diff --git a/translations/te/2-Regression/3-Linear/assignment.md b/translations/te/2-Regression/3-Linear/assignment.md index e4c87475d..21023c337 100644 --- a/translations/te/2-Regression/3-Linear/assignment.md +++ b/translations/te/2-Regression/3-Linear/assignment.md @@ -1,12 +1,3 @@ - # రిగ్రెషన్ మోడల్ సృష్టించండి ## సూచనలు diff --git a/translations/te/2-Regression/3-Linear/solution/Julia/README.md b/translations/te/2-Regression/3-Linear/solution/Julia/README.md index 696f44391..81e71999f 100644 --- a/translations/te/2-Regression/3-Linear/solution/Julia/README.md +++ b/translations/te/2-Regression/3-Linear/solution/Julia/README.md @@ -1,12 +1,3 @@ - ఇది తాత్కాలిక ప్లేస్‌హోల్డర్‌입니다 --- diff --git a/translations/te/2-Regression/4-Logistic/README.md b/translations/te/2-Regression/4-Logistic/README.md index ae15731ec..23b3160f8 100644 --- a/translations/te/2-Regression/4-Logistic/README.md +++ b/translations/te/2-Regression/4-Logistic/README.md @@ -1,12 +1,3 @@ - # వర్గాలను అంచనా వేయడానికి లాజిస్టిక్ రిగ్రెషన్ ![లాజిస్టిక్ vs. లీనియర్ రిగ్రెషన్ ఇన్ఫోగ్రాఫిక్](../../../../translated_images/te/linear-vs-logistic.ba180bf95e7ee667.webp) diff --git a/translations/te/2-Regression/4-Logistic/assignment.md b/translations/te/2-Regression/4-Logistic/assignment.md index b8c2c7a35..ff7ca3d55 100644 --- a/translations/te/2-Regression/4-Logistic/assignment.md +++ b/translations/te/2-Regression/4-Logistic/assignment.md @@ -1,12 +1,3 @@ - # కొంత రిగ్రెషన్ మళ్లీ ప్రయత్నించడం ## సూచనలు diff --git a/translations/te/2-Regression/4-Logistic/solution/Julia/README.md b/translations/te/2-Regression/4-Logistic/solution/Julia/README.md index eee3ed623..d5a41ecd6 100644 --- a/translations/te/2-Regression/4-Logistic/solution/Julia/README.md +++ b/translations/te/2-Regression/4-Logistic/solution/Julia/README.md @@ -1,12 +1,3 @@ - ఇది తాత్కాలిక ప్లేస్‌హోల్డర్. --- diff --git a/translations/te/2-Regression/README.md b/translations/te/2-Regression/README.md index 406741694..3378924ad 100644 --- a/translations/te/2-Regression/README.md +++ b/translations/te/2-Regression/README.md @@ -1,12 +1,3 @@ - # మెషీన్ లెర్నింగ్ కోసం రిగ్రెషన్ మోడల్స్ ## ప్రాంతీయ విషయం: ఉత్తర అమెరికాలో పంప్కిన్ ధరల కోసం రిగ్రెషన్ మోడల్స్ 🎃 diff --git a/translations/te/3-Web-App/1-Web-App/README.md b/translations/te/3-Web-App/1-Web-App/README.md index 959c290c2..da99b8f5e 100644 --- a/translations/te/3-Web-App/1-Web-App/README.md +++ b/translations/te/3-Web-App/1-Web-App/README.md @@ -1,12 +1,3 @@ - # ML మోడల్ ఉపయోగించడానికి వెబ్ యాప్ నిర్మించండి ఈ పాఠంలో, మీరు ఒక డేటా సెట్‌పై ML మోడల్‌ను శిక్షణ ఇస్తారు, ఇది ఈ ప్రపంచానికి చెందినది కాదు: _గత శతాబ్దంలో UFO దర్శనాలు_, NUFORC డేటాబేస్ నుండి సేకరించబడింది. diff --git a/translations/te/3-Web-App/1-Web-App/assignment.md b/translations/te/3-Web-App/1-Web-App/assignment.md index 0dd525d08..1ed156531 100644 --- a/translations/te/3-Web-App/1-Web-App/assignment.md +++ b/translations/te/3-Web-App/1-Web-App/assignment.md @@ -1,12 +1,3 @@ - # వేరే మోడల్ ప్రయత్నించండి ## సూచనలు diff --git a/translations/te/3-Web-App/README.md b/translations/te/3-Web-App/README.md index 3ab7497cc..ac07fd473 100644 --- a/translations/te/3-Web-App/README.md +++ b/translations/te/3-Web-App/README.md @@ -1,12 +1,3 @@ - # మీ ML మోడల్‌ను ఉపయోగించడానికి వెబ్ యాప్‌ను నిర్మించండి ఈ పాఠ్యాంశంలో, మీరు ఒక అన్వయించిన ML అంశాన్ని పరిచయం చేయబడతారు: మీ Scikit-learn మోడల్‌ను ఫైల్‌గా ఎలా సేవ్ చేయాలో, అది వెబ్ అప్లికేషన్‌లో అంచనాలు చేయడానికి ఉపయోగించవచ్చు. మోడల్ సేవ్ అయిన తర్వాత, మీరు దాన్ని Flaskలో నిర్మించిన వెబ్ యాప్‌లో ఎలా ఉపయోగించాలో నేర్చుకుంటారు. మీరు మొదట UFO సాక్ష్యాల గురించి ఉన్న కొన్ని డేటాతో ఒక మోడల్‌ను సృష్టిస్తారు! ఆ తర్వాత, మీరు సెకన్ల సంఖ్య, అక్షాంశం మరియు రేఖాంశం విలువలను ఇన్‌పుట్‌గా ఇచ్చి ఏ దేశం UFO చూసిందని అంచనా వేయగల వెబ్ యాప్‌ను నిర్మిస్తారు. diff --git a/translations/te/4-Classification/1-Introduction/README.md b/translations/te/4-Classification/1-Introduction/README.md index 2097219c6..24b3d7296 100644 --- a/translations/te/4-Classification/1-Introduction/README.md +++ b/translations/te/4-Classification/1-Introduction/README.md @@ -1,12 +1,3 @@ - # వర్గీకరణకు పరిచయం ఈ నాలుగు పాఠాలలో, మీరు క్లాసిక్ మెషీన్ లెర్నింగ్ యొక్క ఒక ప్రాథమిక దృష్టి - _వర్గీకరణ_ ను అన్వేషించబోతున్నారు. ఆసియా మరియు భారతదేశంలోని అన్ని అద్భుతమైన వంటకాల గురించి డేటాసెట్‌తో వివిధ వర్గీకరణ అల్గోరిథమ్స్ ఉపయోగించడం ద్వారా మనం నడవబోతున్నాము. మీరు ఆకలిగా ఉన్నారని ఆశిస్తున్నాము! diff --git a/translations/te/4-Classification/1-Introduction/assignment.md b/translations/te/4-Classification/1-Introduction/assignment.md index 484bbf72e..a3eb869d5 100644 --- a/translations/te/4-Classification/1-Introduction/assignment.md +++ b/translations/te/4-Classification/1-Introduction/assignment.md @@ -1,12 +1,3 @@ - # వర్గీకరణ పద్ధతులను అన్వేషించండి ## సూచనలు diff --git a/translations/te/4-Classification/1-Introduction/solution/Julia/README.md b/translations/te/4-Classification/1-Introduction/solution/Julia/README.md index 33d31fa96..029402ff0 100644 --- a/translations/te/4-Classification/1-Introduction/solution/Julia/README.md +++ b/translations/te/4-Classification/1-Introduction/solution/Julia/README.md @@ -1,12 +1,3 @@ - ఇది తాత్కాలిక ప్లేస్‌హోల్డర్. --- diff --git a/translations/te/4-Classification/2-Classifiers-1/README.md b/translations/te/4-Classification/2-Classifiers-1/README.md index 19cf0e245..e150df094 100644 --- a/translations/te/4-Classification/2-Classifiers-1/README.md +++ b/translations/te/4-Classification/2-Classifiers-1/README.md @@ -1,12 +1,3 @@ - # వంటకాల వర్గీకరణలు 1 ఈ పాఠంలో, మీరు గత పాఠం నుండి సేవ్ చేసిన సమతుల్యమైన, శుభ్రమైన వంటకాల డేటా సెట్‌ను ఉపయోగిస్తారు. diff --git a/translations/te/4-Classification/2-Classifiers-1/assignment.md b/translations/te/4-Classification/2-Classifiers-1/assignment.md index eebba6aed..f8ce2943c 100644 --- a/translations/te/4-Classification/2-Classifiers-1/assignment.md +++ b/translations/te/4-Classification/2-Classifiers-1/assignment.md @@ -1,12 +1,3 @@ - # పరిష్కారకులను అధ్యయనం చేయండి ## సూచనలు diff --git a/translations/te/4-Classification/2-Classifiers-1/solution/Julia/README.md b/translations/te/4-Classification/2-Classifiers-1/solution/Julia/README.md index a9c1385c0..0696437cd 100644 --- a/translations/te/4-Classification/2-Classifiers-1/solution/Julia/README.md +++ b/translations/te/4-Classification/2-Classifiers-1/solution/Julia/README.md @@ -1,12 +1,3 @@ - ఇది తాత్కాలిక ప్లేస్‌హోల్డర్‌입니다 --- diff --git a/translations/te/4-Classification/3-Classifiers-2/README.md b/translations/te/4-Classification/3-Classifiers-2/README.md index 0714ecef9..d9136c81a 100644 --- a/translations/te/4-Classification/3-Classifiers-2/README.md +++ b/translations/te/4-Classification/3-Classifiers-2/README.md @@ -1,12 +1,3 @@ - # వంటక వర్గీకరణలు 2 ఈ రెండవ వర్గీకరణ పాఠంలో, మీరు సంఖ్యాత్మక డేటాను వర్గీకరించడానికి మరిన్ని మార్గాలను అన్వేషిస్తారు. మీరు ఒక వర్గీకర్తను మరొకదానితో పోల్చినప్పుడు కలిగే ప్రభావాల గురించి కూడా తెలుసుకుంటారు. diff --git a/translations/te/4-Classification/3-Classifiers-2/assignment.md b/translations/te/4-Classification/3-Classifiers-2/assignment.md index b1b43e8ba..b6f74a205 100644 --- a/translations/te/4-Classification/3-Classifiers-2/assignment.md +++ b/translations/te/4-Classification/3-Classifiers-2/assignment.md @@ -1,12 +1,3 @@ - # పారామీటర్ ప్లే ## సూచనలు diff --git a/translations/te/4-Classification/3-Classifiers-2/solution/Julia/README.md b/translations/te/4-Classification/3-Classifiers-2/solution/Julia/README.md index 129f3e67d..e0cdc7dde 100644 --- a/translations/te/4-Classification/3-Classifiers-2/solution/Julia/README.md +++ b/translations/te/4-Classification/3-Classifiers-2/solution/Julia/README.md @@ -1,12 +1,3 @@ - ఇది తాత్కాలిక ప్లేస్‌హోల్డర్‌입니다 --- diff --git a/translations/te/4-Classification/4-Applied/README.md b/translations/te/4-Classification/4-Applied/README.md index e3b9c7293..ea4a6f09d 100644 --- a/translations/te/4-Classification/4-Applied/README.md +++ b/translations/te/4-Classification/4-Applied/README.md @@ -1,12 +1,3 @@ - # వంటక సిఫార్సు వెబ్ యాప్ నిర్మించండి ఈ పాఠంలో, మీరు గత పాఠాలలో నేర్చుకున్న కొన్ని సాంకేతికతలను ఉపయోగించి మరియు ఈ సిరీస్ అంతటా ఉపయోగించిన రుచికరమైన వంటక డేటాసెట్‌తో ఒక వర్గీకరణ మోడల్‌ను నిర్మిస్తారు. అదనంగా, మీరు ఒక చిన్న వెబ్ యాప్‌ను నిర్మించి, సేవ్ చేసిన మోడల్‌ను ఉపయోగించడానికి Onnx యొక్క వెబ్ రన్‌టైమ్‌ను ఉపయోగిస్తారు. diff --git a/translations/te/4-Classification/4-Applied/assignment.md b/translations/te/4-Classification/4-Applied/assignment.md index c95509c3b..c79de3c16 100644 --- a/translations/te/4-Classification/4-Applied/assignment.md +++ b/translations/te/4-Classification/4-Applied/assignment.md @@ -1,12 +1,3 @@ - # సిఫార్సుదారుడిని నిర్మించండి ## సూచనలు diff --git a/translations/te/4-Classification/README.md b/translations/te/4-Classification/README.md index 5eda1e03e..14b490812 100644 --- a/translations/te/4-Classification/README.md +++ b/translations/te/4-Classification/README.md @@ -1,12 +1,3 @@ - # వర్గీకరణతో ప్రారంభించడం ## ప్రాంతీయ విషయం: రుచికరమైన ఆసియా మరియు భారతీయ వంటకాలు 🍜 diff --git a/translations/te/5-Clustering/1-Visualize/README.md b/translations/te/5-Clustering/1-Visualize/README.md index e9b97afa8..12301bb34 100644 --- a/translations/te/5-Clustering/1-Visualize/README.md +++ b/translations/te/5-Clustering/1-Visualize/README.md @@ -1,12 +1,3 @@ - # క్లస్టరింగ్ పరిచయం క్లస్టరింగ్ అనేది [అనియంత్రిత అభ్యాసం](https://wikipedia.org/wiki/Unsupervised_learning) యొక్క ఒక రకం, ఇది ఒక డేటాసెట్ లేబుల్ చేయబడలేదు లేదా దాని ఇన్‌పుట్లు ముందుగా నిర్వచించిన అవుట్‌పుట్లతో సరిపోలడం లేదు అని ఊహిస్తుంది. ఇది వివిధ అల్గోరిథమ్లను ఉపయోగించి లేబుల్ చేయబడని డేటాను వర్గీకరించి, డేటాలో కనిపించే నమూనాల ప్రకారం సమూహాలను అందిస్తుంది. diff --git a/translations/te/5-Clustering/1-Visualize/assignment.md b/translations/te/5-Clustering/1-Visualize/assignment.md index 8d89bc38d..01aeaf166 100644 --- a/translations/te/5-Clustering/1-Visualize/assignment.md +++ b/translations/te/5-Clustering/1-Visualize/assignment.md @@ -1,12 +1,3 @@ - # క్లస్టరింగ్ కోసం ఇతర విజువలైజేషన్లపై పరిశోధన ## సూచనలు diff --git a/translations/te/5-Clustering/1-Visualize/solution/Julia/README.md b/translations/te/5-Clustering/1-Visualize/solution/Julia/README.md index 38faf0b83..494ded935 100644 --- a/translations/te/5-Clustering/1-Visualize/solution/Julia/README.md +++ b/translations/te/5-Clustering/1-Visualize/solution/Julia/README.md @@ -1,12 +1,3 @@ - ఇది తాత్కాలిక ప్లేస్‌హోల్డర్‌입니다 --- diff --git a/translations/te/5-Clustering/2-K-Means/README.md b/translations/te/5-Clustering/2-K-Means/README.md index 5c89aaedf..cac37f5df 100644 --- a/translations/te/5-Clustering/2-K-Means/README.md +++ b/translations/te/5-Clustering/2-K-Means/README.md @@ -1,12 +1,3 @@ - # K-Means క్లస్టరింగ్ ## [పూర్వ-లెక్చర్ క్విజ్](https://ff-quizzes.netlify.app/en/ml/) diff --git a/translations/te/5-Clustering/2-K-Means/assignment.md b/translations/te/5-Clustering/2-K-Means/assignment.md index 8cf134616..da5be9e53 100644 --- a/translations/te/5-Clustering/2-K-Means/assignment.md +++ b/translations/te/5-Clustering/2-K-Means/assignment.md @@ -1,12 +1,3 @@ - # వేరే క్లస్టరింగ్ పద్ధతులను ప్రయత్నించండి ## సూచనలు diff --git a/translations/te/5-Clustering/2-K-Means/solution/Julia/README.md b/translations/te/5-Clustering/2-K-Means/solution/Julia/README.md index b18f0511d..81e71999f 100644 --- a/translations/te/5-Clustering/2-K-Means/solution/Julia/README.md +++ b/translations/te/5-Clustering/2-K-Means/solution/Julia/README.md @@ -1,12 +1,3 @@ - ఇది తాత్కాలిక ప్లేస్‌హోల్డర్‌입니다 --- diff --git a/translations/te/5-Clustering/README.md b/translations/te/5-Clustering/README.md index f25571b2c..09512ed9b 100644 --- a/translations/te/5-Clustering/README.md +++ b/translations/te/5-Clustering/README.md @@ -1,12 +1,3 @@ - # మెషీన్ లెర్నింగ్ కోసం క్లస్టరింగ్ మోడల్స్ క్లస్టరింగ్ అనేది ఒక మెషీన్ లెర్నింగ్ పని, ఇందులో ఒకదానితో మరొకటి పోలిక ఉన్న వస్తువులను కనుగొని వాటిని క్లస్టర్లు అని పిలవబడే సమూహాలలో గుంపు చేస్తుంది. మెషీన్ లెర్నింగ్‌లో ఇతర పద్ధతుల నుండి క్లస్టరింగ్ వేరుగా ఉండేది ఏమిటంటే, ఇది ఆటోమేటిక్‌గా జరుగుతుంది, వాస్తవానికి, ఇది సూపర్వైజ్డ్ లెర్నింగ్‌కు వ్యతిరేకంగా ఉంటుంది అని చెప్పవచ్చు. diff --git a/translations/te/6-NLP/1-Introduction-to-NLP/README.md b/translations/te/6-NLP/1-Introduction-to-NLP/README.md index a6be51e2b..a36771210 100644 --- a/translations/te/6-NLP/1-Introduction-to-NLP/README.md +++ b/translations/te/6-NLP/1-Introduction-to-NLP/README.md @@ -1,12 +1,3 @@ - # సహజ భాషా ప్రాసెసింగ్ పరిచయం ఈ పాఠం *సహజ భాషా ప్రాసెసింగ్* యొక్క సంక్షిప్త చరిత్ర మరియు ముఖ్యమైన భావనలను కవర్ చేస్తుంది, ఇది *కంప్యూటేషనల్ లింగ్విస్టిక్స్* యొక్క ఉపశాఖ. diff --git a/translations/te/6-NLP/1-Introduction-to-NLP/assignment.md b/translations/te/6-NLP/1-Introduction-to-NLP/assignment.md index c16975990..e27450f30 100644 --- a/translations/te/6-NLP/1-Introduction-to-NLP/assignment.md +++ b/translations/te/6-NLP/1-Introduction-to-NLP/assignment.md @@ -1,12 +1,3 @@ - # బాట్ కోసం శోధించండి ## సూచనలు diff --git a/translations/te/6-NLP/2-Tasks/README.md b/translations/te/6-NLP/2-Tasks/README.md index fcd98790b..e0185e081 100644 --- a/translations/te/6-NLP/2-Tasks/README.md +++ b/translations/te/6-NLP/2-Tasks/README.md @@ -1,12 +1,3 @@ - # సాధారణ సహజ భాషా ప్రాసెసింగ్ పనులు మరియు సాంకేతికతలు అధిక భాగం *సహజ భాషా ప్రాసెసింగ్* పనుల కోసం, ప్రాసెస్ చేయవలసిన టెక్స్ట్‌ను విభజించి, పరిశీలించి, ఫలితాలను నియమాలు మరియు డేటా సెట్‌లతో నిల్వ చేయాలి లేదా క్రాస్ రిఫరెన్స్ చేయాలి. ఈ పనులు, ప్రోగ్రామర్‌కు టెక్స్ట్‌లోని పదాలు మరియు పదబంధాల యొక్క _అర్థం_ లేదా _ఉద్దేశ్యం_ లేదా కేవలం _సాంద్రత_ ను పొందడానికి సహాయపడతాయి. diff --git a/translations/te/6-NLP/2-Tasks/assignment.md b/translations/te/6-NLP/2-Tasks/assignment.md index ee433c657..60a170f5e 100644 --- a/translations/te/6-NLP/2-Tasks/assignment.md +++ b/translations/te/6-NLP/2-Tasks/assignment.md @@ -1,12 +1,3 @@ - # ఒక బాట్ తిరిగి మాట్లాడించండి ## సూచనలు diff --git a/translations/te/6-NLP/3-Translation-Sentiment/README.md b/translations/te/6-NLP/3-Translation-Sentiment/README.md index 661eaee13..bb5deb925 100644 --- a/translations/te/6-NLP/3-Translation-Sentiment/README.md +++ b/translations/te/6-NLP/3-Translation-Sentiment/README.md @@ -1,12 +1,3 @@ - # అనువాదం మరియు భావ విశ్లేషణ ML తో మునుపటి పాఠాలలో మీరు `TextBlob` ఉపయోగించి ఒక ప్రాథమిక బాట్‌ను ఎలా నిర్మించాలో నేర్చుకున్నారు, ఇది MLని వెనుకనుంచి చేర్చి ప్రాథమిక NLP పనులను, ఉదాహరణకు నామవాచక పదబంధాల వెలికితీయడం వంటి పనులను చేస్తుంది. కంప్యూటేషనల్ లింగ్విస్టిక్స్‌లో మరో ముఖ్యమైన సవాలు ఒక వాక్యాన్ని ఒక మాట్లాడే లేదా రాసే భాష నుండి మరొక భాషకు ఖచ్చితంగా _అనువదించడం_. diff --git a/translations/te/6-NLP/3-Translation-Sentiment/assignment.md b/translations/te/6-NLP/3-Translation-Sentiment/assignment.md index e2584d56e..3162f2799 100644 --- a/translations/te/6-NLP/3-Translation-Sentiment/assignment.md +++ b/translations/te/6-NLP/3-Translation-Sentiment/assignment.md @@ -1,12 +1,3 @@ - # కవిత్వ అనుమతి ## సూచనలు diff --git a/translations/te/6-NLP/3-Translation-Sentiment/solution/Julia/README.md b/translations/te/6-NLP/3-Translation-Sentiment/solution/Julia/README.md index 2cf89a9d2..494ded935 100644 --- a/translations/te/6-NLP/3-Translation-Sentiment/solution/Julia/README.md +++ b/translations/te/6-NLP/3-Translation-Sentiment/solution/Julia/README.md @@ -1,12 +1,3 @@ - ఇది తాత్కాలిక ప్లేస్‌హోల్డర్‌입니다 --- diff --git a/translations/te/6-NLP/3-Translation-Sentiment/solution/R/README.md b/translations/te/6-NLP/3-Translation-Sentiment/solution/R/README.md index ea0d8c3ba..062e68e6e 100644 --- a/translations/te/6-NLP/3-Translation-Sentiment/solution/R/README.md +++ b/translations/te/6-NLP/3-Translation-Sentiment/solution/R/README.md @@ -1,12 +1,3 @@ - ఇది తాత్కాలిక ప్లేస్‌హోల్డర్‌입니다 --- diff --git a/translations/te/6-NLP/4-Hotel-Reviews-1/README.md b/translations/te/6-NLP/4-Hotel-Reviews-1/README.md index b36b9d1aa..db0239018 100644 --- a/translations/te/6-NLP/4-Hotel-Reviews-1/README.md +++ b/translations/te/6-NLP/4-Hotel-Reviews-1/README.md @@ -1,12 +1,3 @@ - # హోటల్ సమీక్షలతో భావ విశ్లేషణ - డేటాను ప్రాసెస్ చేయడం ఈ విభాగంలో మీరు గత పాఠాలలోని సాంకేతికతలను ఉపయోగించి పెద్ద డేటాసెట్ యొక్క అన్వేషణాత్మక డేటా విశ్లేషణ చేయబోతున్నారు. వివిధ కాలమ్స్ యొక్క ఉపయోగకరతను బాగా అర్థం చేసుకున్న తర్వాత, మీరు నేర్చుకుంటారు: diff --git a/translations/te/6-NLP/4-Hotel-Reviews-1/assignment.md b/translations/te/6-NLP/4-Hotel-Reviews-1/assignment.md index 6cfbc6ffd..e5354a1a5 100644 --- a/translations/te/6-NLP/4-Hotel-Reviews-1/assignment.md +++ b/translations/te/6-NLP/4-Hotel-Reviews-1/assignment.md @@ -1,12 +1,3 @@ - # NLTK ## సూచనలు diff --git a/translations/te/6-NLP/4-Hotel-Reviews-1/solution/Julia/README.md b/translations/te/6-NLP/4-Hotel-Reviews-1/solution/Julia/README.md index 4745cbd58..e0cdc7dde 100644 --- a/translations/te/6-NLP/4-Hotel-Reviews-1/solution/Julia/README.md +++ b/translations/te/6-NLP/4-Hotel-Reviews-1/solution/Julia/README.md @@ -1,12 +1,3 @@ - ఇది తాత్కాలిక ప్లేస్‌హోల్డర్‌입니다 --- diff --git a/translations/te/6-NLP/4-Hotel-Reviews-1/solution/R/README.md b/translations/te/6-NLP/4-Hotel-Reviews-1/solution/R/README.md index 80ff50588..494ded935 100644 --- a/translations/te/6-NLP/4-Hotel-Reviews-1/solution/R/README.md +++ b/translations/te/6-NLP/4-Hotel-Reviews-1/solution/R/README.md @@ -1,12 +1,3 @@ - ఇది తాత్కాలిక ప్లేస్‌హోల్డర్‌입니다 --- diff --git a/translations/te/6-NLP/5-Hotel-Reviews-2/README.md b/translations/te/6-NLP/5-Hotel-Reviews-2/README.md index ddbf86ccc..b63631f87 100644 --- a/translations/te/6-NLP/5-Hotel-Reviews-2/README.md +++ b/translations/te/6-NLP/5-Hotel-Reviews-2/README.md @@ -1,12 +1,3 @@ - # హోటల్ సమీక్షలతో భావ విశ్లేషణ ఇప్పుడు మీరు డేటాసెట్‌ను వివరంగా పరిశీలించినందున, కాలమ్స్‌ను ఫిల్టర్ చేసి, ఆపై డేటాసెట్‌పై NLP సాంకేతికతలను ఉపయోగించి హోటల్స్ గురించి కొత్త అవగాహనలను పొందే సమయం వచ్చింది. diff --git a/translations/te/6-NLP/5-Hotel-Reviews-2/assignment.md b/translations/te/6-NLP/5-Hotel-Reviews-2/assignment.md index 4de7ac35b..2326548ac 100644 --- a/translations/te/6-NLP/5-Hotel-Reviews-2/assignment.md +++ b/translations/te/6-NLP/5-Hotel-Reviews-2/assignment.md @@ -1,12 +1,3 @@ - # వేరే డేటాసెట్ ప్రయత్నించండి ## సూచనలు diff --git a/translations/te/6-NLP/5-Hotel-Reviews-2/solution/Julia/README.md b/translations/te/6-NLP/5-Hotel-Reviews-2/solution/Julia/README.md index 3c5f80234..0696437cd 100644 --- a/translations/te/6-NLP/5-Hotel-Reviews-2/solution/Julia/README.md +++ b/translations/te/6-NLP/5-Hotel-Reviews-2/solution/Julia/README.md @@ -1,12 +1,3 @@ - ఇది తాత్కాలిక ప్లేస్‌హోల్డర్‌입니다 --- diff --git a/translations/te/6-NLP/5-Hotel-Reviews-2/solution/R/README.md b/translations/te/6-NLP/5-Hotel-Reviews-2/solution/R/README.md index e8528a2c5..00feaf90b 100644 --- a/translations/te/6-NLP/5-Hotel-Reviews-2/solution/R/README.md +++ b/translations/te/6-NLP/5-Hotel-Reviews-2/solution/R/README.md @@ -1,12 +1,3 @@ - ఇది తాత్కాలిక ప్లేస్‌హోల్డర్‌입니다 --- diff --git a/translations/te/6-NLP/README.md b/translations/te/6-NLP/README.md index 0463be1bb..a0f3c301e 100644 --- a/translations/te/6-NLP/README.md +++ b/translations/te/6-NLP/README.md @@ -1,12 +1,3 @@ - # సహజ భాషా ప్రాసెసింగ్‌తో ప్రారంభించడం సహజ భాషా ప్రాసెసింగ్ (NLP) అనేది కంప్యూటర్ ప్రోగ్రామ్‌కు మానవ భాషను మాట్లాడినట్లు మరియు రాసినట్లు అర్థం చేసుకునే సామర్థ్యం -- దీనిని సహజ భాషగా పిలుస్తారు. ఇది కృత్రిమ మేధస్సు (AI) యొక్క ఒక భాగం. NLP 50 సంవత్సరాలకుపైగా ఉంది మరియు భాషాశాస్త్ర రంగంలో మూలాలు కలిగి ఉంది. మొత్తం రంగం యంత్రాలు మానవ భాషను అర్థం చేసుకోవడంలో మరియు ప్రాసెస్ చేయడంలో సహాయపడటానికి దృష్టి సారించింది. దీన్ని స్పెల్ చెక్ లేదా యంత్ర అనువాదం వంటి పనులను నిర్వహించడానికి ఉపయోగించవచ్చు. ఇది వైద్య పరిశోధన, సెర్చ్ ఇంజిన్లు మరియు వ్యాపార మేధస్సు వంటి అనేక రంగాలలో వాస్తవ ప్రపంచ అనువర్తనాలను కలిగి ఉంది. diff --git a/translations/te/6-NLP/data/README.md b/translations/te/6-NLP/data/README.md index 3595932a8..0a322028f 100644 --- a/translations/te/6-NLP/data/README.md +++ b/translations/te/6-NLP/data/README.md @@ -1,12 +1,3 @@ - హోటల్ సమీక్ష డేటాను ఈ ఫోల్డర్‌లో డౌన్లోడ్ చేయండి. --- diff --git a/translations/te/7-TimeSeries/1-Introduction/README.md b/translations/te/7-TimeSeries/1-Introduction/README.md index 1e5ab4d0c..b237df1c2 100644 --- a/translations/te/7-TimeSeries/1-Introduction/README.md +++ b/translations/te/7-TimeSeries/1-Introduction/README.md @@ -1,12 +1,3 @@ - # టైమ్ సిరీస్ ఫోర్కాస్టింగ్ పరిచయం ![స్కెచ్ నోట్‌లో టైమ్ సిరీస్ సారాంశం](../../../../translated_images/te/ml-timeseries.fb98d25f1013fc0c.webp) diff --git a/translations/te/7-TimeSeries/1-Introduction/assignment.md b/translations/te/7-TimeSeries/1-Introduction/assignment.md index ee086d672..1cd0f1dfa 100644 --- a/translations/te/7-TimeSeries/1-Introduction/assignment.md +++ b/translations/te/7-TimeSeries/1-Introduction/assignment.md @@ -1,12 +1,3 @@ - # మరికొన్ని టైమ్ సిరీస్‌లను విజువలైజ్ చేయండి ## సూచనలు diff --git a/translations/te/7-TimeSeries/1-Introduction/solution/Julia/README.md b/translations/te/7-TimeSeries/1-Introduction/solution/Julia/README.md index 1cccb7d9e..adc1923ae 100644 --- a/translations/te/7-TimeSeries/1-Introduction/solution/Julia/README.md +++ b/translations/te/7-TimeSeries/1-Introduction/solution/Julia/README.md @@ -1,12 +1,3 @@ - ఇది తాత్కాలిక ప్లేస్‌హోల్డర్‌입니다 --- diff --git a/translations/te/7-TimeSeries/1-Introduction/solution/R/README.md b/translations/te/7-TimeSeries/1-Introduction/solution/R/README.md index 54c4fc906..494ded935 100644 --- a/translations/te/7-TimeSeries/1-Introduction/solution/R/README.md +++ b/translations/te/7-TimeSeries/1-Introduction/solution/R/README.md @@ -1,12 +1,3 @@ - ఇది తాత్కాలిక ప్లేస్‌హోల్డర్‌입니다 --- diff --git a/translations/te/7-TimeSeries/2-ARIMA/README.md b/translations/te/7-TimeSeries/2-ARIMA/README.md index 50e6fd09b..e06095dc3 100644 --- a/translations/te/7-TimeSeries/2-ARIMA/README.md +++ b/translations/te/7-TimeSeries/2-ARIMA/README.md @@ -1,12 +1,3 @@ - # ARIMA తో టైమ్ సిరీస్ ఫోర్కాస్టింగ్ మునుపటి పాఠంలో, మీరు టైమ్ సిరీస్ ఫోర్కాస్టింగ్ గురించి కొంత తెలుసుకున్నారు మరియు ఒక డేటాసెట్‌ను లోడ్ చేసుకున్నారు, ఇది ఒక కాల వ్యవధిలో విద్యుత్ లోడ్ మార్పులను చూపిస్తుంది. diff --git a/translations/te/7-TimeSeries/2-ARIMA/assignment.md b/translations/te/7-TimeSeries/2-ARIMA/assignment.md index 2c535acdb..2a0187a9d 100644 --- a/translations/te/7-TimeSeries/2-ARIMA/assignment.md +++ b/translations/te/7-TimeSeries/2-ARIMA/assignment.md @@ -1,12 +1,3 @@ - # కొత్త ARIMA మోడల్ ## సూచనలు diff --git a/translations/te/7-TimeSeries/2-ARIMA/solution/Julia/README.md b/translations/te/7-TimeSeries/2-ARIMA/solution/Julia/README.md index 841812971..27ef12442 100644 --- a/translations/te/7-TimeSeries/2-ARIMA/solution/Julia/README.md +++ b/translations/te/7-TimeSeries/2-ARIMA/solution/Julia/README.md @@ -1,12 +1,3 @@ - ఇది తాత్కాలిక ప్లేస్‌హోల్డర్. --- diff --git a/translations/te/7-TimeSeries/2-ARIMA/solution/R/README.md b/translations/te/7-TimeSeries/2-ARIMA/solution/R/README.md index ad5147a42..e0cdc7dde 100644 --- a/translations/te/7-TimeSeries/2-ARIMA/solution/R/README.md +++ b/translations/te/7-TimeSeries/2-ARIMA/solution/R/README.md @@ -1,12 +1,3 @@ - ఇది తాత్కాలిక ప్లేస్‌హోల్డర్‌입니다 --- diff --git a/translations/te/7-TimeSeries/3-SVR/README.md b/translations/te/7-TimeSeries/3-SVR/README.md index 89dd8d8f4..4d4508268 100644 --- a/translations/te/7-TimeSeries/3-SVR/README.md +++ b/translations/te/7-TimeSeries/3-SVR/README.md @@ -1,12 +1,3 @@ - # టైమ్ సిరీస్ ఫోర్కాస్టింగ్ విత్ సపోర్ట్ వెక్టర్ రిగ్రెసర్ మునుపటి పాఠంలో, మీరు టైమ్ సిరీస్ అంచనాలు చేయడానికి ARIMA మోడల్‌ను ఎలా ఉపయోగించాలో నేర్చుకున్నారు. ఇప్పుడు మీరు సపోర్ట్ వెక్టర్ రిగ్రెసర్ మోడల్‌ను చూడబోతున్నారు, ఇది నిరంతర డేటాను అంచనా వేయడానికి ఉపయోగించే రిగ్రెసర్ మోడల్. diff --git a/translations/te/7-TimeSeries/3-SVR/assignment.md b/translations/te/7-TimeSeries/3-SVR/assignment.md index 33b60101a..0926132a6 100644 --- a/translations/te/7-TimeSeries/3-SVR/assignment.md +++ b/translations/te/7-TimeSeries/3-SVR/assignment.md @@ -1,12 +1,3 @@ - # కొత్త SVR మోడల్ ## సూచనలు [^1] diff --git a/translations/te/7-TimeSeries/README.md b/translations/te/7-TimeSeries/README.md index 887375e8e..3d08e70bd 100644 --- a/translations/te/7-TimeSeries/README.md +++ b/translations/te/7-TimeSeries/README.md @@ -1,12 +1,3 @@ - # టైమ్ సిరీస్ ఫోర్కాస్టింగ్ పరిచయం టైమ్ సిరీస్ ఫోర్కాస్టింగ్ అంటే ఏమిటి? ఇది గత ధోరణులను విశ్లేషించి భవిష్యత్తు సంఘటనలను అంచనా వేయడం. diff --git a/translations/te/8-Reinforcement/1-QLearning/README.md b/translations/te/8-Reinforcement/1-QLearning/README.md index 69fb90cc1..1286a6eeb 100644 --- a/translations/te/8-Reinforcement/1-QLearning/README.md +++ b/translations/te/8-Reinforcement/1-QLearning/README.md @@ -1,12 +1,3 @@ - # రీన్ఫోర్స్‌మెంట్ లెర్నింగ్ మరియు క్యూ-లెర్నింగ్ పరిచయం ![మిషన్ లెర్నింగ్‌లో రీన్ఫోర్స్‌మెంట్ యొక్క సారాంశం స్కెచ్‌నోట్‌లో](../../../../translated_images/te/ml-reinforcement.94024374d63348db.webp) diff --git a/translations/te/8-Reinforcement/1-QLearning/assignment.md b/translations/te/8-Reinforcement/1-QLearning/assignment.md index b6604eb00..4c037f5e8 100644 --- a/translations/te/8-Reinforcement/1-QLearning/assignment.md +++ b/translations/te/8-Reinforcement/1-QLearning/assignment.md @@ -1,12 +1,3 @@ - # మరింత వాస్తవిక ప్రపంచం మన పరిస్థితిలో, పీటర్ దాదాపు అలసిపోకుండా లేదా ఆకలితో బాధపడకుండా చుట్టూ తిరగగలిగాడు. మరింత వాస్తవిక ప్రపంచంలో, మనం సమయానికి కూర్చొని విశ్రాంతి తీసుకోవాలి, అలాగే తినుకోవాలి కూడా. మన ప్రపంచాన్ని మరింత వాస్తవికంగా మార్చుకుందాం, క్రింది నియమాలను అమలు చేయడం ద్వారా: diff --git a/translations/te/8-Reinforcement/1-QLearning/solution/Julia/README.md b/translations/te/8-Reinforcement/1-QLearning/solution/Julia/README.md index 11056cc15..494ded935 100644 --- a/translations/te/8-Reinforcement/1-QLearning/solution/Julia/README.md +++ b/translations/te/8-Reinforcement/1-QLearning/solution/Julia/README.md @@ -1,12 +1,3 @@ - ఇది తాత్కాలిక ప్లేస్‌హోల్డర్‌입니다 --- diff --git a/translations/te/8-Reinforcement/1-QLearning/solution/R/README.md b/translations/te/8-Reinforcement/1-QLearning/solution/R/README.md index 5610f3a39..81e71999f 100644 --- a/translations/te/8-Reinforcement/1-QLearning/solution/R/README.md +++ b/translations/te/8-Reinforcement/1-QLearning/solution/R/README.md @@ -1,12 +1,3 @@ - ఇది తాత్కాలిక ప్లేస్‌హోల్డర్‌입니다 --- diff --git a/translations/te/8-Reinforcement/2-Gym/README.md b/translations/te/8-Reinforcement/2-Gym/README.md index 70df668d8..7b3d2c6e6 100644 --- a/translations/te/8-Reinforcement/2-Gym/README.md +++ b/translations/te/8-Reinforcement/2-Gym/README.md @@ -1,12 +1,3 @@ - # కార్ట్‌పోల్ స్కేటింగ్ మునుపటి పాఠంలో మేము పరిష్కరించిన సమస్య ఒక ఆటపాట సమస్యగా అనిపించవచ్చు, నిజ జీవిత పరిస్థితులకు అన్వయించదగినది కాదు అనిపించవచ్చు. ఇది నిజం కాదు, ఎందుకంటే అనేక నిజ ప్రపంచ సమస్యలు కూడా ఈ పరిస్థితిని పంచుకుంటాయి - చెస్ లేదా గో ఆడటం సహా. అవి సమానమైనవి, ఎందుకంటే మాకు కూడా ఒక బోర్డు మరియు ఇచ్చిన నియమాలు మరియు ఒక **విభిన్న స్థితి** ఉంటుంది. diff --git a/translations/te/8-Reinforcement/2-Gym/assignment.md b/translations/te/8-Reinforcement/2-Gym/assignment.md index 07a9ce7e8..5344d1f46 100644 --- a/translations/te/8-Reinforcement/2-Gym/assignment.md +++ b/translations/te/8-Reinforcement/2-Gym/assignment.md @@ -1,12 +1,3 @@ - # ట్రైన్ మౌంటైన్ కార్ [OpenAI జిమ్](http://gym.openai.com) అన్ని వాతావరణాలు ఒకే API అందించే విధంగా రూపొందించబడింది - అంటే ఒకే విధమైన `reset`, `step` మరియు `render` పద్ధతులు, మరియు **action space** మరియు **observation space** యొక్క ఒకే అభివృద్ధులు. అందువల్ల, తక్కువ కోడ్ మార్పులతో వేర్వేరు వాతావరణాలకు ఒకే రీఇన్ఫోర్స్‌మెంట్ లెర్నింగ్ అల్గోరిథమ్స్ అనుకూలపరచడం సాధ్యమవుతుంది. diff --git a/translations/te/8-Reinforcement/2-Gym/solution/Julia/README.md b/translations/te/8-Reinforcement/2-Gym/solution/Julia/README.md index a7d8c3ef2..1eb611484 100644 --- a/translations/te/8-Reinforcement/2-Gym/solution/Julia/README.md +++ b/translations/te/8-Reinforcement/2-Gym/solution/Julia/README.md @@ -1,12 +1,3 @@ - ఇది తాత్కాలిక ప్లేస్‌హోల్డర్. --- diff --git a/translations/te/8-Reinforcement/2-Gym/solution/R/README.md b/translations/te/8-Reinforcement/2-Gym/solution/R/README.md index a688f7dda..494ded935 100644 --- a/translations/te/8-Reinforcement/2-Gym/solution/R/README.md +++ b/translations/te/8-Reinforcement/2-Gym/solution/R/README.md @@ -1,12 +1,3 @@ - ఇది తాత్కాలిక ప్లేస్‌హోల్డర్‌입니다 --- diff --git a/translations/te/8-Reinforcement/README.md b/translations/te/8-Reinforcement/README.md index 0382a7ff8..ad654d26f 100644 --- a/translations/te/8-Reinforcement/README.md +++ b/translations/te/8-Reinforcement/README.md @@ -1,12 +1,3 @@ - # రీన్ఫోర్స్‌మెంట్ లెర్నింగ్ పరిచయం రీన్ఫోర్స్‌మెంట్ లెర్నింగ్, RL, పర్యవేక్షిత లెర్నింగ్ మరియు పర్యవేక్షణ లేని లెర్నింగ్ తరువాత ఒక ప్రాథమిక మెషీన్ లెర్నింగ్ పద్ధతిగా భావించబడుతుంది. RL అన్నది నిర్ణయాల గురించి: సరైన నిర్ణయాలను తీసుకోవడం లేదా కనీసం వాటి నుండి నేర్చుకోవడం. diff --git a/translations/te/9-Real-World/1-Applications/README.md b/translations/te/9-Real-World/1-Applications/README.md index f13018ceb..c543d9d20 100644 --- a/translations/te/9-Real-World/1-Applications/README.md +++ b/translations/te/9-Real-World/1-Applications/README.md @@ -1,12 +1,3 @@ - # పోస్ట్‌స్క్రిప్ట్: వాస్తవ ప్రపంచంలో మెషీన్ లెర్నింగ్ diff --git a/translations/te/9-Real-World/1-Applications/assignment.md b/translations/te/9-Real-World/1-Applications/assignment.md index 24da204f0..221357fab 100644 --- a/translations/te/9-Real-World/1-Applications/assignment.md +++ b/translations/te/9-Real-World/1-Applications/assignment.md @@ -1,12 +1,3 @@ - # ఒక ML స్కావెంజర్ హంట్ ## సూచనలు diff --git a/translations/te/9-Real-World/2-Debugging-ML-Models/README.md b/translations/te/9-Real-World/2-Debugging-ML-Models/README.md index 5efafedb4..9ab30aba7 100644 --- a/translations/te/9-Real-World/2-Debugging-ML-Models/README.md +++ b/translations/te/9-Real-World/2-Debugging-ML-Models/README.md @@ -1,12 +1,3 @@ - # పోస్ట్‌స్క్రిప్ట్: బాధ్యతాయుత AI డాష్‌బోర్డ్ భాగాలను ఉపయోగించి మెషీన్ లెర్నింగ్‌లో మోడల్ డీబగ్గింగ్ ## [ప్రీ-లెక్చర్ క్విజ్](https://ff-quizzes.netlify.app/en/ml/) diff --git a/translations/te/9-Real-World/2-Debugging-ML-Models/assignment.md b/translations/te/9-Real-World/2-Debugging-ML-Models/assignment.md index 8b9ddc388..c13816b8a 100644 --- a/translations/te/9-Real-World/2-Debugging-ML-Models/assignment.md +++ b/translations/te/9-Real-World/2-Debugging-ML-Models/assignment.md @@ -1,12 +1,3 @@ - # బాధ్యతాయుత AI (RAI) డాష్‌బోర్డ్‌ను అన్వేషించండి ## సూచనలు diff --git a/translations/te/9-Real-World/README.md b/translations/te/9-Real-World/README.md index 534fccabf..bbe98416b 100644 --- a/translations/te/9-Real-World/README.md +++ b/translations/te/9-Real-World/README.md @@ -1,12 +1,3 @@ - # పోస్ట్‌స్క్రిప్ట్: క్లాసిక్ మెషీన్ లెర్నింగ్ యొక్క వాస్తవ ప్రపంచ అనువర్తనాలు ఈ పాఠ్యాంశంలో, మీరు క్లాసికల్ ML యొక్క కొన్ని వాస్తవ ప్రపంచ అనువర్తనాలను పరిచయం చేయబడతారు. మేము న్యూరల్ నెట్‌వర్క్స్, డీప్ లెర్నింగ్ మరియు AI ను సాధ్యమైనంత వరకు తప్పించి, ఈ వ్యూహాలను ఉపయోగించిన అనువర్తనాల గురించి వైట్‌పేపర్లు మరియు వ్యాసాలను వెతికాము. వ్యాపార వ్యవస్థలు, పర్యావరణ అనువర్తనాలు, ఆర్థిక, కళలు మరియు సంస్కృతి మరియు మరిన్ని విషయాలలో ML ఎలా ఉపయోగించబడుతున్నదో తెలుసుకోండి. diff --git a/translations/te/AGENTS.md b/translations/te/AGENTS.md index e3a55df7c..4db9c88dc 100644 --- a/translations/te/AGENTS.md +++ b/translations/te/AGENTS.md @@ -1,12 +1,3 @@ - # AGENTS.md ## Project Overview diff --git a/translations/te/CODE_OF_CONDUCT.md b/translations/te/CODE_OF_CONDUCT.md index eebb528a3..d5f0736e6 100644 --- a/translations/te/CODE_OF_CONDUCT.md +++ b/translations/te/CODE_OF_CONDUCT.md @@ -1,12 +1,3 @@ - # Microsoft ఓపెన్ సోర్స్ కోడ్ ఆఫ్ కండక్ట్ ఈ ప్రాజెక్ట్ [Microsoft ఓపెన్ సోర్స్ కోడ్ ఆఫ్ కండక్ట్](https://opensource.microsoft.com/codeofconduct/)ని ఆమోదించింది. diff --git a/translations/te/CONTRIBUTING.md b/translations/te/CONTRIBUTING.md index 6e140f539..3bfa4fc15 100644 --- a/translations/te/CONTRIBUTING.md +++ b/translations/te/CONTRIBUTING.md @@ -1,12 +1,3 @@ - # Contributing ఈ ప్రాజెక్ట్ సహకారాలు మరియు సూచనలను స్వాగతిస్తుంది. ఎక్కువ భాగం సహకారాలకు మీరు diff --git a/translations/te/README.md b/translations/te/README.md index 4f4948c26..ec7f3e5e2 100644 --- a/translations/te/README.md +++ b/translations/te/README.md @@ -1,151 +1,126 @@ - ### 🌐 బహుభాషా మద్దతు -#### GitHub చర్య ద్వారా మద్దతు (ఆటోమేటెడ్ & ఎప్పుడూ తాజా) +#### GitHub యాక్షన్ ద్వారా మద్దతు (స్వయంచాలక & ఎప్పటికప్పుడూ నవీకరించబడుతుంది) - -[అరబిక్](../ar/README.md) | [బెంగాలీ](../bn/README.md) | [బల్గేరియన్](../bg/README.md) | [బుర్మీస్ (మయన్మార్)](../my/README.md) | [చైనీస్ (సరళీకృత)](../zh/README.md) | [చైనీస్ (పారంపర్య, హాంకాంగ్)](../hk/README.md) | [చైనీస్ (పారంపర్య, మెకావు)](../mo/README.md) | [చైనీస్ (పారంపర్య, తైవాన్)](../tw/README.md) | [క్రొయేషియన్](../hr/README.md) | [చెక్](../cs/README.md) | [డానిష్](../da/README.md) | [డచ్](../nl/README.md) | [ఎస్టోనియన్](../et/README.md) | [ఫిన్నిష్](../fi/README.md) | [ఫ్రెంచ్](../fr/README.md) | [జర్మన్](../de/README.md) | [గ్రీకు](../el/README.md) | [హీబ్రూ](../he/README.md) | [హిందీ](../hi/README.md) | [హుంగేరియన్](../hu/README.md) | [ఇండోనేషియన్](../id/README.md) | [ఇటాలియన్](../it/README.md) | [జపనీస్](../ja/README.md) | [కన్నడ](../kn/README.md) | [కొరియన్](../ko/README.md) | [లిథ్వేనియన్](../lt/README.md) | [మలయ్](../ms/README.md) | [మలయాళం](../ml/README.md) | [మరాఠీ](../mr/README.md) | [నేపాలి](../ne/README.md) | [నైజీరియన్ పిడ్గిన్](../pcm/README.md) | [నార్వేజియన్](../no/README.md) | [పర్షియన్ (ఫార్సీ)](../fa/README.md) | [పోలిష్](../pl/README.md) | [పోర్చుగീസ് (బ్రెజిల్)](../br/README.md) | [పోర్చుగీస్ (పోర్చుగల్)](../pt/README.md) | [పంజాబీ (గురుముఖీ)](../pa/README.md) | [రోమానియన్](../ro/README.md) | [రష్యన్](../ru/README.md) | [సెర్బియన్ (సిరిలిక్)](../sr/README.md) | [స్లోవక్](../sk/README.md) | [స్లోవేనియన్](../sl/README.md) | [స్పానిష్](../es/README.md) | [స్వాహిలి](../sw/README.md) | [స్వీడిష్](../sv/README.md) | [తగలోగ్ (ఫిలిపినో)](../tl/README.md) | [తమిళ్](../ta/README.md) | [తెలుగు](./README.md) | [థాయ్](../th/README.md) | [టర్కిష్](../tr/README.md) | [ఉక్రేనియన్](../uk/README.md) | [ఉర్దూ](../ur/README.md) | [వియత్నామీస్](../vi/README.md) +> **స్థానికంగా క్లోన్ చేయాలని ఇష్టపడుతున్నారా?** -> **స్థానికంగా క్లోన్ చేయడం ఇష్టమైనా?** - -> ఈ రిపాజిటరీ 50+ భాషల అనువాదాలను కలిగి ఉండటం ద్వారా డౌన్లోడ్ పరిమాణం గణనీయంగా పెరుగుతుంది. అనువాదాలు లేకుండా క్లోన్ చేయడానికి, స్పార్స్ చెకౌట్ ఉపయోగించండి: +> ఈ రిపోజిటరీలో 50+ భాషా అనువాదాలు ఉన్నాయి, ఇవి డౌన్‌లోడ్ పరిమాణాన్ని గణనీయంగా పెంచుతాయి. అనువాదాలు లేకుండా క్లోన్ చేయడానికి, స్పార్స్ చెకౌట్ ఉపయోగించండి: > ```bash > git clone --filter=blob:none --sparse https://github.com/microsoft/ML-For-Beginners.git > cd ML-For-Beginners > git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' > ``` -> ఇది మీరు కోర్సును పూర్తి చేసుకోవడానికి అవసరమైన అన్ని విషయాలను మరింత వేగవంతమైన డౌన్లోడ్‌తో ఇస్తుంది. - - -#### మా కమ్యూనిటీకి చేరండి - -[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +> ఇది పాఠ్యాంశం పూర్తిచేయడానికి అవసరమైన అన్ని వస్తువులను చాలా వేగంగా డౌన్లోడ్ చేయడానికి అందిస్తుంది. -మేము ఒక Discord లో AI తో నేర్చుకోవడం సిరీస్ నిర్వహిస్తున్నాము, మరింత తెలుసుకోవడానికి మరియు మాతో చేరడానికి [Learn with AI Series](https://aka.ms/learnwithai/discord) వద్ద 18 - 30 సెప్టెంబర్, 2025 తేదీలలో చేరండి. మీరు GitHub Copilot ను డేటా సైన్స్ కోసం ఉపయోగించే చిట్కాలు మరియు తంత్రాలు పొందుతారు. +#### మా సముదాయంలో చేరండి -![Learn with AI series](../../../../translated_images/te/3.9b58fd8d6c373c20.webp) +మేము Discordలో AI తో కలిసి నేర్చుకునే శ్రేణిని కొనసాగిస్తున్నాము, సెప్టెంబర్ 18 - 30, 2025 నాటికి [Learn with AI Series](https://aka.ms/learnwithai/discord) వద్ద మరింత వివరాలు తెలుసుకోండి మరియు చేర్చుకోండి. మీరు GitHub Copilot ను డేటా సైన్స్ కోసం ఉపయోగించే చిట్కాలు మరియు విధానాలు పొందగలుగుతారు. -# మొదలుపెట్టు +# మొదలు కావడం ఈ దశలను అనుసరించండి: -1. **రిపాజిటరీని ఫోర్క్ చేయండి**: ఈ పేజీ యొక్క పై-కుడి మూలలో "Fork" బటన్‌పై క్లిక్ చేయండి. -2. **రిపాజిటరీని క్లోన్ చేయండి**: `git clone https://github.com/microsoft/ML-For-Beginners.git` +1. **రిపోజిటరీను ఫోర్క్ చేయండి**: ఈ పేజీ పైవైపు-కుడి మూలలో ఉన్న "Fork" బటన్‌ను క్లిక్ చేయండి. +2. **రిపోజిటరీని క్లోన్ చేయండి**: `git clone https://github.com/microsoft/ML-For-Beginners.git` -> [ఈ కోర్సుకి సంబంధించిన అన్ని అదనపు వనరులను మా Microsoft Learn సేకరణలో పొందండి](https://learn.microsoft.com/en-us/collections/qrqzamz1nn2wx3?WT.mc_id=academic-77952-bethanycheum) +> [ఈ కోర్సుకు సంబంధించిన అన్ని అదనపు వనరులను మా Microsoft Learn సేకరణలో గుర్తించండి](https://learn.microsoft.com/en-us/collections/qrqzamz1nn2wx3?WT.mc_id=academic-77952-bethanycheum) -> 🔧 **సహాయం కావాలా?** ఇన్‌స్టాలేషన్, సెటప్ మరియు పాఠాలు నడపడంలో సాధారణ సమస్యల పరిష్కారాలకు మా [Troubleshooting Guide](TROUBLESHOOTING.md) చూడండి. +> 🔧 **సహాయం కావాలా?** సాధారణ ఇన్‌స్టాలేషన్, సెటప్, మరియు పాఠ్యాంశాలు నడపుటలోకి సంబంధించిన పరిష్కారాల కోసం మా [Troubleshooting Guide](TROUBLESHOOTING.md) ను చెక్ చేయండి. -**[స్టూడెంట్లు](https://aka.ms/student-page)**, ఈ పాఠ్యాన్ని ఉపయోగించడానికి, మొత్తం రిపోను మీ GitHub ఖాతాకు ఫోर्क్ చేసి ప్రత్యేక్గా లేదా గ్రూప్ తో వ్యాయామాలు పూర్తి చేయండి: +**[విద్యార్థులు](https://aka.ms/student-page)**, ఈ పాఠ్యాంశాన్ని ఉపయోగించడానికి, మొత్తం రిపోను మీ స్వంత GitHub ఖాతాకు ఫోర్క్ చేసి అటు/ఇటు గుంపుతో లేదా స్వయంగా వ్యాయామాలను పూర్తి చేయండి: -- ప్రీ-లెక్చర్ క్విజ్ తో ప్రారంభించండి. -- లెక్చర్ ని చదివి, కార్యకలాపాలను పూర్తి చేయండి, ప్రతి జ్ఞాన పరీక్ష వద్ద ఆగిపోవడం మరియు ఆలోచించడం. -- పరిష్కార కోడ్ నడపకుండా పాఠాలు అర్థం చేసుకుని ప్రాజెక్టులు సృష్టించుకోవడానికి ప్రయత్నించండి; అయినప్పటికీ ఆ కోడ్ ప్రతి ప్రాజెక్ట్-ఆధారిత పాఠ్యంలోని `/solution` ఫోల్డర్‌లో అందుబాటులో ఉంటుంది. +- డ్రాఫ్ట్ లెక్చర్ క్విజ్‌తో ప్రారంభించండి. +- లెక్చర్ చదవండి మరియు కార్యకలాపాలను పూర్తి చేయండి, ప్రతి జ్ఞానం తనిఖీ వద్ద ఆగి ఆలోచించండి. +- పరిష్కార కోడ్ ను నడపకుండా పాఠ్యాంశాలను అర్థం చేసుకొని ప్రాజెక్టులను సృష్టించాలని ప్రయత్నించండి; అయితే ఆ కోడ్ ప్రతి ప్రాజెక్ట్-ఆధారిత పాఠ్యాంశాలలోని `/solution` ఫోల్డర్లలో అందుబాటులో ఉంది. - పోస్ట్-లెక్చర్ క్విజ్ తీసుకోండి. - ఛాలెంజ్ పూర్తి చేయండి. - అసైన్‌మెంట్ పూర్తి చేయండి. -- ఒక పాఠ్య సమూహం పూర్తి చేసిన తర్వాత, [చర్చ ఫోరమ్](https://github.com/microsoft/ML-For-Beginners/discussions) సందర్శించి, సంబంధించిన PAT రుబ్రిక్‌ను పూరించి "ఆవొక్కట్లుగా నేర్చుకోండి". PAT అనేది ప్రగతి అంచనా సాధనం, ఇది మీ అభ్యాసాన్ని ముందుకు తీసుకెళ్లడానికి మీరు పూరించవలసిన రుబ్రిక్. మీరు ఇతర PATలకు ప్రతిస్పందించవచ్చు, తద్వారా మనం కలిసి నేర్చుకోగలము. +- ఒక పాఠ్యాంశ సమూహం పూర్తిచేసిన తర్వాత, [చర్చా మండలి](https://github.com/microsoft/ML-For-Beginners/discussions) ను సందర్శించి సరైన PAT రూబ్రిక్‌ని పూరించడం ద్వారా "మాట్లాడటం నేర్చుకోండి". PAT అనేది మీరు మీ అభ్యాసాన్ని మరింతగా కొనసాగించడానికి పూరించే ప్రగతి మదింపు సాధనం రూబ్రిక్. మీరు ఇతర PAT లకు కూడా స్పందించి మేము కలసి నేర్చుకోవచ్చు. -> ఇంకా అధ్యయనం కోసం, ఈ [Microsoft Learn](https://docs.microsoft.com/en-us/users/jenlooper-2911/collections/k7o7tg1gp306q4?WT.mc_id=academic-77952-leestott) మాడ్యూల్స్ మరియు లెర్నింగ్ పాథ్లను అనుసరించడం మేము సూచిస్తాము. +> అదనపు అధ్యయనానికి, ఈ [Microsoft Learn](https://docs.microsoft.com/en-us/users/jenlooper-2911/collections/k7o7tg1gp306q4?WT.mc_id=academic-77952-leestott) మాడ్యూల్స్ మరియు అభ్యాస మార్గాలను అనుసరించడం మేము సిఫార్సు చేస్తున్నాము. -**ఉపాధ్యాయులు**, ఈ పాఠ్యాన్ని ఎలా ఉపయోగించాలో మా [సూచనలు](for-teachers.md) అందిస్తున్నాము. +**గురువులు**, ఈ పాఠ్యాంశాన్ని ఉపయోగించే విధానం పై మేము కొన్ని సూచనలను అందించాము [ఇక్కడ](for-teachers.md). --- -## వీడియో వాక్‌త్రూ - -కొన్ని పాఠాలు చిన్న వీడియో రూపంలో అందుబాటులో ఉన్నాయి. మీరు ఈ వీడియోలను పాఠాల్లో నేరుగా లేదా [Microsoft Developer YouTube ఛానల్‌లో ML ఫర్ బిగినర్స్ ప్లేలిస్ట్‌లో](https://aka.ms/ml-beginners-videos) బాటన్ క్లిక్ చేసి చూడవచ్చు. +## వీడియో వాక్‌త్రూస్ -[![ML for beginners banner](../../../../translated_images/te/ml-for-beginners-video-banner.63f694a100034bc6.webp)](https://aka.ms/ml-beginners-videos) +కొన్ని పాఠ్యాంశాలు చిన్న ఫార్మ్ వీడియోగా అందుబాటులో ఉన్నాయి. మీరు ఈ వీడియోలను పాఠ్యాంశాల్లోనే లేదా [Microsoft Developer YouTube ఛానెల్‌లో ML for Beginners ప్లేలిస్ట్](https://aka.ms/ml-beginners-videos) వద్ద ఈ చిత్రాన్ని క్లిక్ చేయడం ద్వారా చూడవచ్చు. --- -## టీమ్ ని కలుసుకోండి - -[![Promo video](../../images/ml.gif)](https://youtu.be/Tj1XWrDSYJU) - -**గిఫ్ రూపొందించిన** [మోహిత్ జైసాల్](https://linkedin.com/in/mohitjaisal) - -> 🎥 ప్రాజెక్ట్ మరియు దీన్ని సృష్టించిన వ్యక్తుల గురించి వీడియో కోసం పై చిత్రం క్లిక్ చేయండి! +## జట్టు --- -## పద్ధతి +## పాఠ్యశాస్త్రం -మేము ఈ పాఠ్యాన్ని రూపొందించేటప్పుడు రెండు పద్ధతిగత సూత్రాలను ఎంచుకున్నాము: ఇది **ప్రాజెక్ట్ ఆధారితంగా** వుండాలని మరియు **తరచూ క్విజ్‌లు** ఉండాలని. అదనంగా, ఈ పాఠ్యానికి ఒక సాధారణ **థీమ్** ను కల్గించడం జరిగింది, ఇది ఒకతని కలిసిన భావాన్ని ఇస్తుంది. +మేము ఈ పాఠ్యాంశాన్ని తయారు చేస్తుండగా రెండు పాఠ్య శాస్త్ర సిద్ధాంతాలను ఎంచుకున్నాము: ఇది ప్రాజెక్ట్-ఆధారితంగా ఉండటం మరియు తరచుగా క్విజ్‌లను కలిగి ఉండటం. అదనంగా, ఈ పాఠ్యాంశానికి ఒక సాధారణ వైఖరి పాటు ఒక సారూప్యం కూడా ఉంది. -విషయాలు ప్రాజెక్టులతో సరిపడే విధంగా ఉండాలనే దృష్టితో, ఇది విద్యార్థులకు మరింత ఆసక్తికరంగా చేస్తుంది మరియు ఆలోచనలు నిలుపుకోవడాన్ని పెంచుతుంది. తరగతికి ముందు తక్కువ-ప్రయత్న క్విజ్ విద్యార్థికి విషయం నేర్చుకోవడానికిబయట ఉద్దేశ్యాన్ని ఏర్పరుస్తుంది, తరగతి తర్వాత రెండవ క్విజ్ మరింత నిలుపుదలకి దోహదపడుతుంది. ఈ పాఠ్యం సరళమైనది మరియు సరదాగా ఉండేలా డిజైన్ చేయబడింది, దీన్ని మొత్తం గా లేదా భాగస్వామ్యంగా తీసుకోవచ్చు. ప్రాజెక్టులు చిన్నదిగా మొదలౌతాయి మరియు 12 వారం చక్రం చివరిలో క్రమంగా క్లిష్టత పెరుగుతుంది. ఇందులో ML యొక్క నిజజీవిత అనువర్తనాలపై ఒక పోస్ట్‌స్క్రిప్ట్ కూడా ఉంది, ఇది అదనపు క్రెడిట్ గా ఉపయోగించుకోవచ్చు లేదా చర్చకు ఆధారంగా ఉపయోగపడుతుంది. +విషయాలు ప్రాజెక్ట్లకు అనుగుణంగా ఉంటాయని ఖాతరిగా చూస్తూనే విద్యార్థులకు మరింత ఆసక్తికరంగా ఉంటుందని మరియు భావనల నిల్వ బలపడుతుందని భావిస్తాము. తరగతికి ముందు ఒక తక్కువ-పరిశోధన క్విజ్ అభ్యాసి అధ్యయన లక్ష్యాన్ని ఏర్పరుస్తుంది, మరొక క్విజ్ తరగతికి తరువాత భావన నిల్వని పెంచుతుంది. ఈ పాఠ్యాంశం అనుకూలంగా మరియు సరదాగా ఉండేలా రూపొందించబడింది, పూర్తి లేదా భాగంగా తీసుకోవచ్చు. ప్రాజెక్టులు చిన్నవాటి నుంచి మొదలవుతూ కార్యక్రమం చివరి 12 వారాల చక్రం వరకు క్రమంగా క్లిష్టత పెరుగుతుంది. ఈ పాఠ్యాంశంలో చేరికగా వాస్తవ ప్రపంచంలో ML యొక్క వినియోగాలపై ఒక ఉపసంహారం కూడా ఉంటుంది, దీన్ని అదనపు క్రెడిట్ గానీ చర్చా ఆధ్యాయాలగా ఉపయోగించవచ్చు. -> మా [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), [Translation](TRANSLATIONS.md), మరియు [Troubleshooting](TROUBLESHOOTING.md) మార్గదర్శకాలు చూడండి. మీ గృహపాలనాత్మక అభిప్రాయాలను స్వాగతిస్తున్నాము! +> మా [ఆచరణ నియమావళి](CODE_OF_CONDUCT.md), [కాంట్రిబ్యూటింగ్](CONTRIBUTING.md), [అనువాదం](TRANSLATIONS.md), మరియు [సమస్య పరిష్కార సూచిక](TROUBLESHOOTING.md) మార్గదర్శకాలను చదవండి. మీ నిర్మాణాత్మక అభిప్రాయాలను స్వాగతిస్తున్నాము! -## ప్రతి పాఠం లో ఉంటుంది +## ప్రతి పాఠ్యాంశంలో ఉంటాయి -- ఐచ్ఛిక స్కెచ్నోట్ -- ఐచ్ఛిక సప్లిమెంటల్ వీడియో -- వీడియో వాక్‌త్రూ (కొంత పాఠాలు మాత్రమే) -- [పూర్వ-లెక్చర్ వారం-అప్ క్విజ్](https://ff-quizzes.netlify.app/en/ml/) -- వ్రాసిన పాఠం -- ప్రాజెక్ట్ ఆధారిత పాఠాలకు, ప్రాజెక్ట్ నిర్మాణానికి స్తోమత దశల వారీ మార్గదర్శకాలు -- జ్ఞాన పరీక్షలు +- ఐచ్ఛిక స్కెచ్ నోట్ +- ఐచ్ఛిక సప్లిమెంటరీ వీడియో +- వీడియో వాక్‌త్రూ (కొన్ని పాఠ్యాంశాలకు మాత్రమే) +- [ప్రిరెక్చర్ వార్మప్ క్విజ్](https://ff-quizzes.netlify.app/en/ml/) +- వ్రాతపూర్వక పాఠ్యాంశం +- ప్రాజెక్ట్-ఆధారిత పాఠ్యాంశాలకు, ప్రాజెక్ట్ అడుగ adelga అడుగు గైడ్‌లు +- నాలెడ్జ్ చెక్స్య - ఒక ఛాలెంజ్ -- సప్లిమెంటల్ చదవడం +- సప్లిమెంటరీ చదువు - అసైన్‌మెంట్ - [పోస్ట్-లెక్చర్ క్విజ్](https://ff-quizzes.netlify.app/en/ml/) -> **భాషల గురించి ఒక గమనిక**: ఈ పాఠాలు ప్రధానంగా Python లో వ్రాయబడ్డాయి, కానీ చాలా R లో కూడా అందుబాటులో ఉన్నాయి. R పాఠం పూర్తి చేయడానికి, `/solution` ఫోల్డర్‌కి పోయి R పాఠాలని వెతకండి. వీటిలో .rmd ఎక్స్‌టెన్షన్ ఉంటుంది, ఇది ఒక **R Markdown** ఫైల్‌ను సూచిస్తుంది, ఇది `code chunks` (R లేదా ఇతర భాషల) మరియు `YAML header` (PDF వంటి అవుట్పుట్లను ఫార్మాట్ చేయడానికి మార్గనిర్దేశకం)ని ఒక `Markdown డాక్యుమెంట్` లోకి లోపించడమే. అందుకే, ఇది డేటా సైన్స్ కోసం ఒక అద్భుతమైన రచనా రూపకల్పన, ఎందుకంటే మీరు మీ కోడ్, దాని అవుట్పుట్, మరియు మీ ఆలోచనలను Markdown లో వ్రాయడానికి వీలుగా కలిపేలా ఉంటుంది. ఇలావుండగా, R Markdown డాక్యుమెంట్లను PDF, HTML, లేదా Word వంటి అవుట్పుట్ ఫార్మాట్లుగా మార్చవచ్చు. -> **క్విజ్‌ల గురించి ఒక నోట్**: మొత్తం 52 క్విజ్‌లు ఉన్నాయి, వీటిలో ప్రతి క్విజ్ మూడు ప్రశ్నలు ఉన్నాయి, అవి [క్విజ్ యాప్ ఫోల్డర్](../../quiz-app)లో ఉన్నాయి. వీటిని పాఠాల నుంచి లింక్ చేయబడినవి కానీ క్విజ్ యాప్‌ను మీరు స్థానికంగా కూడా నడపవచ్చు; `quiz-app` ఫోల్డర్‌లో పొందుపరిచిన సూచనలను అనుసరించి స్థానికంగా హోస్ట్ చేయడం లేదా Azureకి డిప్లాయ్ చేయండి. - -| పాఠ సంఖ్య | విషయం | పాఠ సమూహం | నేర్చుకునే లక్ష్యాలు | లింక్ చేయబడిన పాఠం | రచయిత | -| :-------: | :------------------------------------------------------------: | :---------------------------------------------: | ------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------: | :--------------------------------------------------: | -| 01 | మెషీన్ లెర్నింగ్ పరిచయం | [Introduction](1-Introduction/README.md) | మెషీన్ లెర్నింగ్ నSTITUTEల ప్రాథమిక భావాలను నేర్చుకోండి | [Lesson](1-Introduction/1-intro-to-ML/README.md) | ముహమ్మద్ | -| 02 | మెషీన్ లెర్నింగ్ చరిత్ర | [Introduction](1-Introduction/README.md) | ఈ విభాగం ఆధారంగా చరిత్ర నేర్చుకోండి | [Lesson](1-Introduction/2-history-of-ML/README.md) | జెన్ మరియు అమి | -| 03 | న్యాయం మరియు మెషీన్ లెర్నింగ్ | [Introduction](1-Introduction/README.md) | న్యాయం విషయంలో ముఖ్యమైన తత్వసంబంధ సమస్యలు ఏమిటి మరియు విద్యార్థులు ML మోడళ్లను నిర్మించేటప్పుడు వాటిని ఎలా పరిగణించాలి? | [Lesson](1-Introduction/3-fairness/README.md) | టోమోమి | -| 04 | మెషీన్ లెర్నింగ్ సాంకేతిక పద్ధతులు | [Introduction](1-Introduction/README.md) | మెషీన్ లెర్నింగ్ శోధకులు ML మోడళ్లను తయారు చేయడానికి ఉపయోగించే సాంకేతిక పద్ధతులు ఏమిటి? | [Lesson](1-Introduction/4-techniques-of-ML/README.md) | క్రిస్ మరియు జెన్ | -| 05 | రిగ్రెషన్ పరిచయం | [Regression](2-Regression/README.md) | రిగ్రెషన్ మోడళ్ల కోసం Python మరియు Scikit-learn తో ప్రారంభించండి | [Python](2-Regression/1-Tools/README.md) • [R](../../2-Regression/1-Tools/solution/R/lesson_1.html) | జెన్ • ఎరిక్ వాంజావ్ | -| 06 | ఉత్తర అమెరికన్ పంప్కిన్ ధరలు 🎃 | [Regression](2-Regression/README.md) | MLకి సిద్ధం కావడానికి డేటాను విజువలైజ్ చేసి శుభ్రపరచండి | [Python](2-Regression/2-Data/README.md) • [R](../../2-Regression/2-Data/solution/R/lesson_2.html) | జెన్ • ఎరిక్ వాంజావ్ | -| 07 | ఉత్తర అమెరికన్ పంప్కిన్ ధరలు 🎃 | [Regression](2-Regression/README.md) | లీనియర్ మరియు పాలినామియల్ రిగ్రెషన్ మోడళ్లను తయారు చేయండి | [Python](2-Regression/3-Linear/README.md) • [R](../../2-Regression/3-Linear/solution/R/lesson_3.html) | జెన్ మరియు డ్మిత్రి • ఎరిక్ వాంజావ్ | -| 08 | ఉత్తర అమెరికన్ పంప్కిన్ ధరలు 🎃 | [Regression](2-Regression/README.md) | లాజిస్టిక్ రిగ్రెషన్ మోడల్ నిర్మించండి | [Python](2-Regression/4-Logistic/README.md) • [R](../../2-Regression/4-Logistic/solution/R/lesson_4.html) | జెన్ • ఎరిక్ వాంజావ్ | -| 09 | ఒక వెబ్ యాప్ 🔌 | [Web App](3-Web-App/README.md) | మీ శిక్షణ పొందిన మోడల్ ఉపయోగించేందుకు వెబ్ యాప్‌ను సృష్టించండి | [Python](3-Web-App/1-Web-App/README.md) | జెన్ | -| 10 | వర్గీకరణ పరిచయం | [Classification](4-Classification/README.md) | మీ డేటాను శుభ్రపరచండి, సిద్ధం చేయండి, మరియు దృశ్యీకరించండి; వర్గీకరణకు పరిచయము | [Python](4-Classification/1-Introduction/README.md) • [R](../../4-Classification/1-Introduction/solution/R/lesson_10.html) | జెన్ మరియు కాస్సీ • ఎరిక్ వాంజావ్ | -| 11 | రుచికరమైన ఆసియ‌న్ మరియు భారతీయ వంటకాలు 🍜 | [Classification](4-Classification/README.md) | వర్గీకరించే విధానాలకు పరిచయం | [Python](4-Classification/2-Classifiers-1/README.md) • [R](../../4-Classification/2-Classifiers-1/solution/R/lesson_11.html) | జెన్ మరియు కాస్సీ • ఎరిక్ వాంజావ్ | -| 12 | రుచికరమైన ఆసియ‌న్ మరియు భారతీయ వంటకాలు 🍜 | [Classification](4-Classification/README.md) | మరిన్ని వర్గీకరించే విధానాలు | [Python](4-Classification/3-Classifiers-2/README.md) • [R](../../4-Classification/3-Classifiers-2/solution/R/lesson_12.html) | జెన్ మరియు కాస్సీ • ఎరిక్ వాంజావ్ | -| 13 | రుచికరమైన ఆసియ‌న్ మరియు భారతీయ వంటకాలు 🍜 | [Classification](4-Classification/README.md) | మీ మోడల్ ఉపయోగించి ఒక సిఫారసుల వెబ్ యాప్‌ను తయారు చేయండి | [Python](4-Classification/4-Applied/README.md) | జెన్ | -| 14 | క్లోస్టరింగ్ పరిచయం | [Clustering](5-Clustering/README.md) | మీ డేటాను శుభ్రపరచండి, సిద్ధం చేయండి, మరియు దృశ్యీకరించండి; క్లోస్టరింగ్‌కు పరిచయము | [Python](5-Clustering/1-Visualize/README.md) • [R](../../5-Clustering/1-Visualize/solution/R/lesson_14.html) | జెన్ • ఎరిక్ వాంజావ్ | -| 15 | నైజీరియన్ సంగీత రుచులను అన్వేషించడం 🎧 | [Clustering](5-Clustering/README.md) | K-Means క్లోస్టరింగ్ పద్ధతిని అన్వేషించండి | [Python](5-Clustering/2-K-Means/README.md) • [R](../../5-Clustering/2-K-Means/solution/R/lesson_15.html) | జెన్ • ఎరిక్ వాంజావ్ | -| 16 | సహజ భాషా ప్రాసెసింగ్ పరిచయం ☕️ | [Natural language processing](6-NLP/README.md) | ఒక సులభ బోట్ నిర్మించి NLP ప్రాథమికాలను నేర్చుకోండి | [Python](6-NLP/1-Introduction-to-NLP/README.md) | స్తీఫెన్ | -| 17 | సాధారణ NLP పనులు ☕️ | [Natural language processing](6-NLP/README.md) | భాషా నిర్మాణాలతో పని చేసే సమయంలో అవసరమైన సాధారణ పనులను అర్థం చేసుకొని మీ NLP జ్ఞానం పెంచుకోండి | [Python](6-NLP/2-Tasks/README.md) | స్తీఫెన్ | -| 18 | అనువాదం మరియు భావ వ్యక్తీకరణ విశ్లేషణ ♥️ | [Natural language processing](6-NLP/README.md) | జేన్ ఆస్టెన్‌తో అనువాదం మరియు భావ వ్యక్తీకరణ విశ్లేషణ | [Python](6-NLP/3-Translation-Sentiment/README.md) | స్తీఫెన్ | -| 19 | యూరోప్ రొమాంటిక్ హోటళ్లు ♥️ | [Natural language processing](6-NLP/README.md) | హోటల్ సమీక్షలతో భావ వ్యక్తీకరణ విశ్లేషణ 1 | [Python](6-NLP/4-Hotel-Reviews-1/README.md) | స్తీఫెన్ | -| 20 | యూరోప్ రొమాంటిక్ హోటళ్లు ♥️ | [Natural language processing](6-NLP/README.md) | హోటల్ సమీక్షలతో భావ వ్యక్తీకరణ విశ్లేషణ 2 | [Python](6-NLP/5-Hotel-Reviews-2/README.md) | స్తీఫెన్ | -| 21 | టైమ్ సిరీస్ ఫోర్కాస్టింగ్ పరిచయం | [Time series](7-TimeSeries/README.md) | టైమ్ సిరీస్ ఫోర్కాస్టింగ్‌కు పరిచయం | [Python](7-TimeSeries/1-Introduction/README.md) | ఫ్రాన్సెస్కా | -| 22 | ⚡️ ప్రపంచ శక్తి వినియోగం ⚡️ - ARIMAతో టైమ్ సిరీస్ ఫోర్కాస్టింగ్ | [Time series](7-TimeSeries/README.md) | ARIMAతో టైమ్ సిరీస్ ఫోర్కాస్టింగ్ | [Python](7-TimeSeries/2-ARIMA/README.md) | ఫ్రాన్సెస్కా | -| 23 | ⚡️ ప్రపంచ శక్తి వినియోగం ⚡️ - SVRతో టైమ్ సిరీస్ ఫోర్కాస్టింగ్ | [Time series](7-TimeSeries/README.md) | సపోర్ట్ వెక్టర్ రిగ్రెషన్‌తో టైమ్ సిరీస్ ఫోర్కాస్టింగ్ | [Python](7-TimeSeries/3-SVR/README.md) | అనిర్బాన్ | -| 24 | రీన్ఫోర్స్‌మెంట్ లెర్నింగ్ పరిచయం | [Reinforcement learning](8-Reinforcement/README.md) | Q-లెర్నింగ్‌తో రీన్ఫోర్స్‌మెంట్ లెర్నింగ్ పరిచయం | [Python](8-Reinforcement/1-QLearning/README.md) | డ్మిత్రి | -| 25 | పీటర్‌ని నరుడి నుండి దూరంుంచండి! 🐺 | [Reinforcement learning](8-Reinforcement/README.md) | రీన్ఫోర్స్‌మెంట్ లెర్నింగ్ జిమ్ | [Python](8-Reinforcement/2-Gym/README.md) | డ్మిత్రి | -| Postscript | నిజజాతి ML తరచులు మరియు అనువర్తనాలు | [ML in the Wild](9-Real-World/README.md) | శాస్త్రీయ ML యొక్క ఆసక్తికరమైన మరియు వెల్లడించే నిజజాతి అనువర్తనాలు | [Lesson](9-Real-World/1-Applications/README.md) | బృందం | -| Postscript | RAI డ్యాష్‌బోర్డ్ ఉపయోగించి MLలో మోడల్ డీబగ్‌ చేయడం | [ML in the Wild](9-Real-World/README.md) | రిస్పాన్సిబుల్ AI డ్యాష్‌బోర్డ్ భాగాలుతో మెషీన్ లెర్నింగ్‌లో మోడల్ డీబగ్‌ చేయడం | [Lesson](9-Real-World/2-Debugging-ML-Models/README.md) | రుత్ యాకుబు | - -> [ఈ కోర్సు కోసం మా Microsoft Learn కలెక్షన్‌లో అన్ని అదనపు వనరులను కనుగొనండి](https://learn.microsoft.com/en-us/collections/qrqzamz1nn2wx3?WT.mc_id=academic-77952-bethanycheum) +> **భాషల గురించి ఒక గమనిక**: ఈ పాఠ్యాంశాలు ప్రధానంగా Python లో వ్రాయబడ్డాయి, కానీ చాలావరకు R లో కూడా అందుబాటులో ఉన్నాయి. ఒక R పాఠ్యాంశాన్ని పూర్తి చేయడానికి, `/solution` ఫోల్డర్ వెళ్లి R పాఠ్యాంశాలను చూడండి. అవి `.rmd` ఫైల్స్‌గా ఉంటాయి, ఇవి **R మార్కడౌన్** ఫైల్స్‌లోకలిపివుంటాయి - దీనిలో `code chunks` (R లేదా ఇతర భాషల కోడ్) మరియు `YAML header` ఉంటాయి, ఇవి PDF వంటి ఔట్‌పుట్‌లను ఎలా ఫార్మాటుచేసుకోవాలనే దానిని వివరిస్తాయి. అందువల్ల, ఇది డేటా సైన్స్ కోసం ఒక ఉదాహరణాత్మక రచనా ఫ్రేమ్‌వర్క్‌గా ఉంది, ఎందుకంటే ఇది మీ కోడ్, దాని ఉత్పత్తి, మరియు మీ ఆలోచనలు మార్కడౌన్‌లో వ్రాయడానికి అనుమతిస్తుంది. అంతేకాదు, R మార్కడౌన్ డాక్యుమెంట్లు PDF, HTML, లేదా Word వంటి ఔట్‌పుట్ ఫార్మాట్లలోకి కూడా మార్చుకోవచ్చు. +> **క్విజ్‌ల గురించి ఒక గమనిక**: అన్ని క్విజ్‌లు [Quiz App ఫోల్డర్](../../quiz-app)లో ఉన్నాయి, ఇది మొత్తం 52 క్విజ్‌లు, ఒక్కోటి మూడు ప్రశ్నలు కలిగి ఉన్నాయి. అవి పాఠాల నుంచి లింక్ చేయబడ్డాయి కానీ క్విజ్ యాప్‌ను లోకల్‌గా కూడా నడిపించవచ్చు; స్థానికంగా హోస్ట్ చేయడానికి లేదా Azureకి డిప్లాయ్ చేయడానికి `quiz-app` ఫోల్డర్‌లో ఉన్న సూచనలను అనుసరించండి. + +| పాఠ సంఖ్య | విషయం | పాఠాల సమూహం | అభ్యాస లక్ష్యాలు | లింక్ చేయబడిన పాఠం | రచయిత | +| :--------: | :------------------------------------------------------------: | :-----------------------------------------------: | ---------------------------------------------------------------------------------------------------------------------------- | :-------------------------------------------------------------------------------------------------------------------------------------: | :--------------------------------------------------: | +| 01 | మెషీన్ లెర్నింగ్ పరిచయం | [Introduction](1-Introduction/README.md) | మెషీన్ లెర్నింగ్ పునాది సూత్రాలను నేర్చుకోండి | [Lesson](1-Introduction/1-intro-to-ML/README.md) | Muhammad | +| 02 | మెషీన్ లెర్నింగ్ చరిత్ర | [Introduction](1-Introduction/README.md) | ఈ రంగం వెనుక చరిత్రను నేర్చుకోండి | [Lesson](1-Introduction/2-history-of-ML/README.md) | Jen and Amy | +| 03 | న్యాయం మరియు మెషీన్ లెర్నింగ్ | [Introduction](1-Introduction/README.md) | న్యాయం గురించి ముఖ్యమైన తాత్త్విక అంశాలు ఏమిటి, వీటిని ML మోడల్స్ నిర్మాణం మరియు అమలులో పరిగణించాల్సింది ఏమిటి? | [Lesson](1-Introduction/3-fairness/README.md) | Tomomi | +| 04 | మెషీన్ లెర్నింగ్ సాంకేతికతలు | [Introduction](1-Introduction/README.md) | ML పరిశోధకులు ML మోడల్స్ నిర్మించడానికి ఉపయోగించే సాంకేతికతలు ఏమిటి? | [Lesson](1-Introduction/4-techniques-of-ML/README.md) | Chris and Jen | +| 05 | రిగ్రెషన్ పరిచయం | [Regression](2-Regression/README.md) | రిగ్రెషన్ మోడల్స్ కోసం Python మరియు Scikit-learn తో ప్రారంభించండి | [Python](2-Regression/1-Tools/README.md) • [R](../../2-Regression/1-Tools/solution/R/lesson_1.html) | Jen • Eric Wanjau | +| 06 | ఉత్తర అమెరికా పంకిన్ ధరలు 🎃 | [Regression](2-Regression/README.md) | MLకోసం డేటాను విజువలైజ్ చేసి శుభ్రం చేయండి | [Python](2-Regression/2-Data/README.md) • [R](../../2-Regression/2-Data/solution/R/lesson_2.html) | Jen • Eric Wanjau | +| 07 | ఉత్తర అమెరికా పంకిన్ ధరలు 🎃 | [Regression](2-Regression/README.md) | లీనియర్ మరియు పోలినామియల్ రిగ్రెషన్ మోడల్స్‌ను తయారుచేయండి | [Python](2-Regression/3-Linear/README.md) • [R](../../2-Regression/3-Linear/solution/R/lesson_3.html) | Jen and Dmitry • Eric Wanjau | +| 08 | ఉత్తర అమెరికా పంకిన్ ధరలు 🎃 | [Regression](2-Regression/README.md) | ఒక లాజిస్టిక్ రిగ్రెషన్ మోడల్‌ను నిర్మించండి | [Python](2-Regression/4-Logistic/README.md) • [R](../../2-Regression/4-Logistic/solution/R/lesson_4.html) | Jen • Eric Wanjau | +| 09 | ఒక వెబ్ యాప్ 🔌 | [Web App](3-Web-App/README.md) | మీ శిక్షణ పొందిన మోడల్ ఉపయోగించడానికి ఒక వెబ్ యాప్ నిర్మించండి | [Python](3-Web-App/1-Web-App/README.md) | Jen | +| 10 | వర్గీకరణ పరిచయం | [Classification](4-Classification/README.md) | మీ డేటాను శుభ్రం చేయండి, సిద్ధం చేయండి, మరియు విజువలైజ్ చేయండి; వర్గీకరణకి పరిచయం | [Python](4-Classification/1-Introduction/README.md) • [R](../../4-Classification/1-Introduction/solution/R/lesson_10.html) | Jen and Cassie • Eric Wanjau | +| 11 | రుచికరమైన ఆసియాన్ మరియు ఇండియన్ వంటకాలు 🍜 | [Classification](4-Classification/README.md) | వర్గీకరణల పరిచయం | [Python](4-Classification/2-Classifiers-1/README.md) • [R](../../4-Classification/2-Classifiers-1/solution/R/lesson_11.html) | Jen and Cassie • Eric Wanjau | +| 12 | రుచికరమైన ఆసియాన్ మరియు ఇండియన్ వంటకాలు 🍜 | [Classification](4-Classification/README.md) | మరిన్ని వర్గీకరణకారులు | [Python](4-Classification/3-Classifiers-2/README.md) • [R](../../4-Classification/3-Classifiers-2/solution/R/lesson_12.html) | Jen and Cassie • Eric Wanjau | +| 13 | రుచికరమైన ఆసియాన్ మరియు ఇండియన్ వంటకాలు 🍜 | [Classification](4-Classification/README.md) | మీ మోడల్ ఉపయోగించి ఒక సిఫార్సు వెబ్ యాప్ ని నిర్మించండి | [Python](4-Classification/4-Applied/README.md) | Jen | +| 14 | క్లస్టరింగ్ పరిచయం | [Clustering](5-Clustering/README.md) | మీ డేటాను శుభ్రం చేయండి, సిద్ధం చేయండి, విజువలైజ్ చేయండి; క్లస్టరింగ్ పరిచయం | [Python](5-Clustering/1-Visualize/README.md) • [R](../../5-Clustering/1-Visualize/solution/R/lesson_14.html) | Jen • Eric Wanjau | +| 15 | నైజీరియన్ సంగీత రుచులు పరిశీలన 🎧 | [Clustering](5-Clustering/README.md) | K-Means క్లస్టరింగ్ పద్ధతిని అన్వేషించండి | [Python](5-Clustering/2-K-Means/README.md) • [R](../../5-Clustering/2-K-Means/solution/R/lesson_15.html) | Jen • Eric Wanjau | +| 16 | సహజ భాషా ప్రాసెసింగ్ పరిచయం ☕️ | [Natural language processing](6-NLP/README.md) | ఒక సరళమైన బాట్ నిర్మించడం ద్వారా NLP యొక్క ప్రాథమికాంశాలను నేర్చుకోండి | [Python](6-NLP/1-Introduction-to-NLP/README.md) | Stephen | +| 17 | సాధారణ NLP పనులు ☕️ | [Natural language processing](6-NLP/README.md) | భాషా నిర్మాణాలతో వ్యవహరించేటప్పుడు అవసరమైన సాధారణ పనులు అర్థం చేసుకుని మీ NLP జ్ఞానం పెంచుకోండి | [Python](6-NLP/2-Tasks/README.md) | Stephen | +| 18 | అనువాదం మరియు భావ విశ్లేషణ ♥️ | [Natural language processing](6-NLP/README.md) | Jane Austen తో అనువాదం మరియు భావ విశ్లేషణ | [Python](6-NLP/3-Translation-Sentiment/README.md) | Stephen | +| 19 | యూరోప్ యొక్క రొమాంటిక్ హోటల్స్ ♥️ | [Natural language processing](6-NLP/README.md) | హోటల్ సమీక్షలతో ఒక భావ విశ్లేషణ 1 | [Python](6-NLP/4-Hotel-Reviews-1/README.md) | Stephen | +| 20 | యూరోప్ యొక్క రొమాంటిక్ హోటల్స్ ♥️ | [Natural language processing](6-NLP/README.md) | హోటల్ సమీక్షలతో ఒక భావ విశ్లేషణ 2 | [Python](6-NLP/5-Hotel-Reviews-2/README.md) | Stephen | +| 21 | టైమ్ సిరీస్ ప్రణాళికకి పరిచయం | [Time series](7-TimeSeries/README.md) | టైమ్ సిరీస్ ప్రణాళికకు పరిచయం | [Python](7-TimeSeries/1-Introduction/README.md) | Francesca | +| 22 | ⚡️ ప్రపంచ విద్యుత్ వినియోగం ⚡️ - ARIMA తో టైమ్ సిరీస్ ప్రణాళిక | [Time series](7-TimeSeries/README.md) | ARIMAతో టైమ్ సిరీస్ ప్రణాళిక | [Python](7-TimeSeries/2-ARIMA/README.md) | Francesca | +| 23 | ⚡️ ప్రపంచ విద్యుత్ వినియోగం ⚡️ - SVRతో టైమ్ సిరీస్ ప్రణాళిక | [Time series](7-TimeSeries/README.md) | సపోర్ట్ వెక్టర్ రిగ్రెషర్‌తో టైమ్ సిరీస్ ప్రణాళిక | [Python](7-TimeSeries/3-SVR/README.md) | Anirban | +| 24 | రీఇన్ఫోర్స్‌మెంట్ లెర్నింగ్ పరిచయం | [Reinforcement learning](8-Reinforcement/README.md) | Q-Learningతో రీఇన్ఫోర్స్‌మెంట్ లెర్నింగ్ పరిచయం | [Python](8-Reinforcement/1-QLearning/README.md) | Dmitry | +| 25 | పాటర్‌ను గేదె నుండి తప్పించండి! 🐺 | [Reinforcement learning](8-Reinforcement/README.md) | రీఇన్ఫోర్స్‌మెంట్ లెర్నింగ్ జిం | [Python](8-Reinforcement/2-Gym/README.md) | Dmitry | +| తర్వాతి భాగం | వాస్తవ ప్రపంచ ML పరిస్థితులు మరియు అనువర్తనాలు | [ML in the Wild](9-Real-World/README.md) | క్లాసికల్ ML యొక్క ఆసక్తికరమైన మరియు వివరించే వాస్తవ ప్రపంచ అనువర్తనాలు | [Lesson](9-Real-World/1-Applications/README.md) | టీమ్ | +| తర్వాతి భాగం | RAI డాష్‌బోర్డ్తో MLలో మోడల్ డిబగ్గింగ్ | [ML in the Wild](9-Real-World/README.md) | రిస్పాన్సిబుల్ AI డాష్‌బోర్డు భాగాలతో మెషీన్ లెర్నింగ్‌లో మోడల్ డిబగ్గింగ్ | [Lesson](9-Real-World/2-Debugging-ML-Models/README.md) | Ruth Yakubu | + +> [ఈ కోర్సు కోసం మా Microsoft Learn సేకరణలో అన్ని అదనపు వనరులను కనుగొనండి](https://learn.microsoft.com/en-us/collections/qrqzamz1nn2wx3?WT.mc_id=academic-77952-bethanycheum) ## ఆఫ్‌లైన్ యాక్సెస్ -మీరు ఈ డాక్యుమెంటేషన్‌ను ఆఫ్‌లైన్‌లో నడపడానికి [Docsify](https://docsify.js.org/#/) ఉపయోగించవచ్చు. ఈ రిపోను fork చేయండి, మీ స్థానిక మెషిన్‌పై [Docsifyను ఇన్‌స్టాల్](https://docsify.js.org/#/quickstart) చేసుకోండి, మరియు ఆ తర్వాత ఈ రిపో root ఫోల్డర్‌లో `docsify serve` టైప్ చేయండి. వెబ్‌సైట్ మీ స్థానికహోస్ట్‌లో పోర్ట్ 3000పై అందుబాటులో ఉంటుంది: `localhost:3000`. +[Docsify](https://docsify.js.org/#/) ఉపయోగించి మీరు ఈ డాక్యుమెంటేషన్‌ను ఆఫ్‌లైన్‌లో నడిపించవచ్చు. ఈ రిపోను ఫోర్క్ చేసి, మీ లోకల్ యంత్రంలో [Docsify ను ఇన్‌స్టాల్](https://docsify.js.org/#/quickstart) చేయండి, ఆ తర్వాత ఈ రిపో యొక్క రూట్ ఫోల్డర్‌లో `docsify serve` ను టైపు చేయండి. వెబ్ సైట్ మీ లోకల్హోస్ట్ పై పోర్ట్ 3000 లో సర్వ్ అవుతుంది: `localhost:3000`. -## PDF లు +## PDFలు -లింక్‌లతో కూడిన విద్యా కార్యక్రమం PDFను [ఇక్కడ](https://microsoft.github.io/ML-For-Beginners/pdf/readme.pdf) కనుగొనండి. +కురిక్యులం యొక్క PDFను లింకులతో [ఇక్కడ](https://microsoft.github.io/ML-For-Beginners/pdf/readme.pdf) కనుగొనండి. ## 🎒 ఇతర కోర్సులు -మా బృందం ఇతర కోర్సులను కూడా తయారు చేస్తోంది! చూడండి: +మా టీమ్ ఇతర కోర్సులను తయారు చేస్తోంది! చూడండి: ### LangChain @@ -163,43 +138,43 @@ CO_OP_TRANSLATOR_METADATA: --- ### Generative AI Series -[![ఆరంభకరులకు జనరేటివ్ AI](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![జనరేటివ్ AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) -[![జనరేటివ్ AI (జావా)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) -[![జనరేటివ్ AI (జావాస్క్రిప్ట్)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) +[![Generation AI ప్రారంభికులు కోసం](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Generation AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) +[![Generation AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) +[![Generation AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) --- - + ### ప్రాథమిక అభ్యాసం -[![ప్రాథమికులకు ML](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) -[![ప్రాథమికులకు డేటా సైన్స్](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) -[![ప్రాథమికులకు AI](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) -[![ప్రాథమికులకు సైబర్‌సెక్యూరిటీ](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) -[![ప్రాథమికులకు వెబ్ డెవలప్‌మెంట్](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) -[![ప్రాథమికులకు IoT](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) -[![ప్రాథమికులకు XR అభివృద్ధి](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) +[![ML ప్రారంభికులు కోసం](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) +[![డేటా శాస్త్రం ప్రారంభికులు కోసం](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) +[![AI ప్రారంభికులు కోసం](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) +[![సైబర్‌భద్రత మొదటిసారిగా](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) +[![వెబ్ డెవలప్‌మెంట్ ప్రారంభికులు కోసం](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) +[![IoT ప్రారంభికులు కోసం](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) +[![XR అభివృద్ధి ప్రారంభికులు కోసం](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- - -### కోపైలట్ సిరీస్ -[![AI పెაუდెడ్ ప్రోగ్రామింగ్ కోసం కోపైలట్](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) -[![C#/.NET కోసం కోపైలట్](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) -[![కోపైలట్ అడ్వెంచర్](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) + +### కొపైలట్ శ్రేణి +[![AI జంట ప్రోగ్రామింగ్ కొపైలట్](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +[![C#/.NET కొపైలట్](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) +[![కొపైలట్ అడ్వెంచర్](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) ## సహాయం పొందడం -మీరు AI అనువర్తనాలు నిర్మించడం గురించి ఎక్కడైనా ఇబ్బంది పడితే లేదా ఏవైనా ప్రశ్నలు ఉంటే, ఇతర అభ్యర్థులు మరియు అనుభవజ్ఞులైన అభివృద్ధికర్తలతో MCP గురించి చర్చల్లో చేరండి. ఇది ఒక మద్దతుగా ఉన్న సమాజం, అక్కడ ప్రశ్నలు స్వాగతించబడతాయి మరియు జ్ఞానం సాదాగా పంచుకుంటారు. +మీరు ఇబ్బంది పడితే లేదా AI యాప్లను నిర్మించడం గురించి ఏవైనా ప్రశ్నలు ఉంటే. MCP గురించి fellow learners మరియు అనుభవజ్ఞులైన డెవలపర్లతో చర్చల్లో చేరండి. ఇది ప్రశ్నలు స్వాగతించబడే, జ్ఞానం స్వేచ్ఛగా పంచుకునే మద్దతుగా ఉన్న సంఘం. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -ఉత్పత్తి అభిప్రాయం ఇవ్వడానికైనా లేదా నిర్మాణంలో లోపాలు గుర్తించడానికైనా ఈ లింక్ ద్వారా వెళ్లండి: +మీకు ఉత్పత్తి అభిప్రాయాలు లేదా నిర్మాణంలో లోపాలు ఉంటే సందర్శించండి: [![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) --- -**అస్పష్టత**: -ఈ పత్రాన్ని AI అనువాద సేవ అయిన [Co-op Translator](https://github.com/Azure/co-op-translator) ఉపయోగించి అనువదించబడింది. మనం ఖచ్చితత్వానికి ప్రయత్నించినప్పటికీ, ఆటోమేటెడ్ అనువాదాలలో తప్పుల లేదా అసమంజసత్వాల ఉండే అవకాశం ఉన్నదని దయచేసి గమనించండి. మూల భాషలో ఉన్న الأصلي పత్రాన్ని అధికారిక మూలంగా పరిగణించాలి. కీలక సమాచారానికి, వృత్తిపరమైన మానవ అనువాదాన్ని సూచిస్తాము. ఈ అనువాదం వాడకంలో ఉన్న ఏవైనా అపార్థాలు లేదా తప్పుదారితీసే భావనలకు మేము బాధ్యులు కం. +**డిస్లేమర్**: +ఈ పత్రాన్ని AI అనువాద సేవ [Co-op Translator](https://github.com/Azure/co-op-translator) ఉపయోగించి అనువదించడం జరిగింది. మేము సరిగ్గా అనువదించేందుకు శ్రద్ధ తీసుకున్నప్పటికీ, ఆటోమేటిక్ అనువాదాలలో పొరపాట్లు లేదా లోపాలు ఉండవచ్చు. అసలు పత్రం తన స్వదేశీ భాషలో ఉన్నదానిని అధికారిక మూలంగా పరిగణించాలి. కీలక సమాచారం కొరకు, ప్రొఫెషనల్ మానవ అనువాదం చేయించుకోవడం సూచించబడుతుంది. ఈ అనువాదం వలన కలిగే ఏదైనా అపార్థాలు లేదా తప్పుతలంపులకు మేము బాధ్యత కలిగించము. \ No newline at end of file diff --git a/translations/te/SECURITY.md b/translations/te/SECURITY.md index 6afe4ae75..f766816fe 100644 --- a/translations/te/SECURITY.md +++ b/translations/te/SECURITY.md @@ -1,12 +1,3 @@ - ## భద్రత మైక్రోసాఫ్ట్ మా సాఫ్ట్‌వేర్ ఉత్పత్తులు మరియు సేవల భద్రతను గంభీరంగా తీసుకుంటుంది, దీనిలో మా GitHub సంస్థల ద్వారా నిర్వహించబడే అన్ని సోర్స్ కోడ్ రిపాజిటరీలు ఉన్నాయి, వీటిలో [Microsoft](https://github.com/Microsoft), [Azure](https://github.com/Azure), [DotNet](https://github.com/dotnet), [AspNet](https://github.com/aspnet), [Xamarin](https://github.com/xamarin), మరియు [మా GitHub సంస్థలు](https://opensource.microsoft.com/) ఉన్నాయి. diff --git a/translations/te/SUPPORT.md b/translations/te/SUPPORT.md index 28b0455b5..93560bcff 100644 --- a/translations/te/SUPPORT.md +++ b/translations/te/SUPPORT.md @@ -1,12 +1,3 @@ - # మద్దతు ## సమస్యలను ఎలా నమోదు చేయాలి మరియు సహాయం పొందాలి diff --git a/translations/te/TROUBLESHOOTING.md b/translations/te/TROUBLESHOOTING.md index 20116f2bf..20cc707a3 100644 --- a/translations/te/TROUBLESHOOTING.md +++ b/translations/te/TROUBLESHOOTING.md @@ -1,12 +1,3 @@ - # సమస్య పరిష్కరణ గైడ్ ఈ గైడ్ మిషీన్ లెర్నింగ్ ఫర్ బిగినర్స్ పాఠ్యాంశంతో పని చేస్తున్నప్పుడు సాధారణ సమస్యలను పరిష్కరించడంలో మీకు సహాయం చేస్తుంది. మీరు ఇక్కడ పరిష్కారం కనుగొనకపోతే, దయచేసి మా [Discord చర్చలు](https://aka.ms/foundry/discord)ను చూడండి లేదా [ఇష్యూ ఓపెన్ చేయండి](https://github.com/microsoft/ML-For-Beginners/issues). diff --git a/translations/te/docs/_sidebar.md b/translations/te/docs/_sidebar.md index 635ac4d05..3cedd365d 100644 --- a/translations/te/docs/_sidebar.md +++ b/translations/te/docs/_sidebar.md @@ -1,12 +1,3 @@ - - పరిచయం - [మిషన్ లెర్నింగ్ పరిచయం](../1-Introduction/1-intro-to-ML/README.md) - [మిషన్ లెర్నింగ్ చరిత్ర](../1-Introduction/2-history-of-ML/README.md) diff --git a/translations/te/for-teachers.md b/translations/te/for-teachers.md index 194f3ae96..fb63a76de 100644 --- a/translations/te/for-teachers.md +++ b/translations/te/for-teachers.md @@ -1,12 +1,3 @@ - ## ఉపాధ్యాయులకు మీ తరగతిలో ఈ పాఠ్యాంశాన్ని ఉపయోగించాలనుకుంటున్నారా? దయచేసి స్వేచ్ఛగా ఉపయోగించండి! diff --git a/translations/te/quiz-app/README.md b/translations/te/quiz-app/README.md index 985676e4e..97e62227b 100644 --- a/translations/te/quiz-app/README.md +++ b/translations/te/quiz-app/README.md @@ -1,12 +1,3 @@ - # క్విజ్‌లు ఈ క్విజ్‌లు https://aka.ms/ml-beginners వద్ద ML పాఠ్యక్రమం కోసం ప్రీ- మరియు పోస్ట్-లెక్చర్ క్విజ్‌లు. diff --git a/translations/te/sketchnotes/LICENSE.md b/translations/te/sketchnotes/LICENSE.md index e32298b41..17ed5540c 100644 --- a/translations/te/sketchnotes/LICENSE.md +++ b/translations/te/sketchnotes/LICENSE.md @@ -1,12 +1,3 @@ - అట్రిబ్యూషన్-షేర్ అలైక్ 4.0 ఇంటర్నేషనల్ ======================================================================= diff --git a/translations/te/sketchnotes/README.md b/translations/te/sketchnotes/README.md index 7101dc724..7f708e00a 100644 --- a/translations/te/sketchnotes/README.md +++ b/translations/te/sketchnotes/README.md @@ -1,12 +1,3 @@ - అన్ని పాఠ్యాంశాల స్కెచ్‌నోట్లు ఇక్కడ డౌన్లోడ్ చేసుకోవచ్చు. 🖨 హై-రెసల్యూషన్‌లో ప్రింటింగ్ కోసం, TIFF వెర్షన్లు [ఈ రిపో](https://github.com/girliemac/a-picture-is-worth-a-1000-words/tree/main/ml/tiff)లో అందుబాటులో ఉన్నాయి.