You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
ML-For-Beginners/1-Introduction
Peeeaje 6bb8b8eee8
translate 1.3 fairness readme.md to Japanese
4 years ago
..
1-intro-to-ML Merge pull request #81 from Peeeaje/main 4 years ago
2-history-of-ML translated titles and alt tags 4 years ago
3-fairness translate 1.3 fairness readme.md to Japanese 4 years ago
4-techniques-of-ML tiny typo 4 years ago
images intro image 4 years ago
translations Merge branch 'main' of https://github.com/microsoft/ML-For-Beginners into main 4 years ago
README.md capitalization final audit 4 years ago

README.md

Introduction to machine learning

In this section of the curriculum, you will be introduced to the base concepts underlying the field of machine learning, what it is, and learn about its history and the techniques researchers use to work with it. Let's explore this new world of ML together!

globe

Photo by Bill Oxford on Unsplash

Lessons

  1. Introduction to machine learning
  2. The History of machine learning and AI
  3. Fairness and machine learning
  4. Techniques of machine learning

Credits

"Introduction to Machine Learning" was written with ♥️ by a team of folks including Muhammad Sakib Khan Inan, Ornella Altunyan and Jen Looper

"The History of Machine Learning" was written with ♥️ by Jen Looper and Amy Boyd

"Fairness and Machine Learning" was written with ♥️ by Tomomi Imura

"Techniques of Machine Learning" was written with ♥️ by Jen Looper and Chris Noring