From 885ada0a1cef68f29ffd4f126e8cedf060d2da12 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Pikach=C3=BA?= Date: Tue, 4 Jun 2024 15:42:36 +0300 Subject: [PATCH 1/2] updated readme to include learn collection --- README.md | 32 ++++++++++---------------------- 1 file changed, 10 insertions(+), 22 deletions(-) diff --git a/README.md b/README.md index 3dda213c..63ba9c61 100644 --- a/README.md +++ b/README.md @@ -12,7 +12,7 @@ > 🌍 Travel around the world as we explore Machine Learning by means of world cultures 🌍 -Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 26-lesson curriculum all about **Machine Learning**. In this curriculum, you will learn about what is sometimes called **classic machine learning**, using primarily Scikit-learn as a library and avoiding deep learning, which is covered in our forthcoming 'AI for Beginners' curriculum. Pair these lessons with our ['Data Science for Beginners' curriculum](https://aka.ms/datascience-beginners), as well! +Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 26-lesson curriculum all about **Machine Learning**. In this curriculum, you will learn about what is sometimes called **classic machine learning**, using primarily Scikit-learn as a library and avoiding deep learning, which is covered in our forthcoming [AI for Beginners' curriculum](https://aka.ms/ai4beginners). Pair these lessons with our ['Data Science for Beginners' curriculum](https://aka.ms/ds4beginners), as well! Travel with us around the world as we apply these classic techniques to data from many areas of the world. Each lesson includes pre- and post-lesson quizzes, written instructions to complete the lesson, a solution, an assignment, and more. Our project-based pedagogy allows you to learn while building, a proven way for new skills to 'stick'. @@ -24,24 +24,10 @@ Travel with us around the world as we apply these classic techniques to data fro **🤩 Extra gratitude to Microsoft Student Ambassadors Eric Wanjau, Jasleen Sondhi, and Vidushi Gupta for our R lessons!** ---- - -## Announcement - New Curriculum on Generative AI was just released! - -We just released a 12 lesson curriculum on generative AI. Come learn things like: - -- prompting and prompt engineering -- text and image app generation -- search apps - -As usual, there's a lesson, assignments to complete, knowledge checks and challenges. - -Check it out: - -> https://aka.ms/genai-beginners - # Getting Started +> [find all additional resources for this course in our Microsoft Learn collection](https://learn.microsoft.com/en-us/collections/qrqzamz1nn2wx3?WT.mc_id=academic-77952-bethanycheum) + **[Students](https://aka.ms/student-page)**, to use this curriculum, fork the entire repo to your own GitHub account and complete the exercises on your own or with a group: - Start with a pre-lecture quiz. @@ -84,7 +70,7 @@ By ensuring that the content aligns with projects, the process is made more enga > Find our [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), and [Translation](TRANSLATIONS.md) guidelines. We welcome your constructive feedback! -## Each lesson includes: +## Each lesson includes - optional sketchnote - optional supplemental video @@ -132,6 +118,8 @@ By ensuring that the content aligns with projects, the process is made more enga | Postscript | Real-World ML scenarios and applications | [ML in the Wild](9-Real-World/README.md) | Interesting and revealing real-world applications of classical ML | [Lesson](9-Real-World/1-Applications/README.md) | Team | | Postscript | Model Debugging in ML using RAI dashboard | [ML in the Wild](9-Real-World/README.md) | Model Debugging in Machine Learning using Responsible AI dashboard components | [Lesson](9-Real-World/2-Debugging-ML-Models/README.md) | Ruth Yakubu | +> [find all additional resources for this course in our Microsoft Learn collection](https://learn.microsoft.com/en-us/collections/qrqzamz1nn2wx3?WT.mc_id=academic-77952-bethanycheum) + ## Offline access You can run this documentation offline by using [Docsify](https://docsify.js.org/#/). Fork this repo, [install Docsify](https://docsify.js.org/#/quickstart) on your local machine, and then in the root folder of this repo, type `docsify serve`. The website will be served on port 3000 on your localhost: `localhost:3000`. @@ -140,7 +128,7 @@ You can run this documentation offline by using [Docsify](https://docsify.js.org Find a pdf of the curriculum with links [here](https://microsoft.github.io/ML-For-Beginners/pdf/readme.pdf). -## Help Wanted! +## Help Wanted Would you like to contribute a translation? Please read our [translation guidelines](TRANSLATIONS.md) and add a templated issue to manage the workload [here](https://github.com/microsoft/ML-For-Beginners/issues). @@ -148,12 +136,12 @@ Would you like to contribute a translation? Please read our [translation guideli Our team produces other curricula! Check out: -- [AI for Beginners](https://aka.ms/ai-beginners) +- [AI for Beginners](https://aka.ms/ai4beginners) - [Data Science for Beginners](https://aka.ms/datascience-beginners) -- [Generative AI for Beginners](https://aka.ms/genai-beginners) +- [**New Version 2.0** - Generative AI for Beginners](https://aka.ms/genai-beginners) - [**NEW** Cybersecurity for Beginners](https://github.com/microsoft/Security-101??WT.mc_id=academic-96948-sayoung) - [Web Dev for Beginners](https://aka.ms/webdev-beginners) - [IoT for Beginners](https://aka.ms/iot-beginners) -- [Machine Learning for Beginners](https://aka.ms/ml-beginners) +- [Machine Learning for Beginners](https://aka.ms/ml4beginners) - [XR Development for Beginners](https://aka.ms/xr-dev-for-beginners) - [Mastering GitHub Copilot for AI Paired Programming](https://aka.ms/GitHubCopilotAI) From 732df5eccedbf2fe27b238865f4872b4d6a749d9 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Pikach=C3=BA?= Date: Tue, 4 Jun 2024 15:43:15 +0300 Subject: [PATCH 2/2] gramatical errors fixed --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 63ba9c61..2a49e844 100644 --- a/README.md +++ b/README.md @@ -12,7 +12,7 @@ > 🌍 Travel around the world as we explore Machine Learning by means of world cultures 🌍 -Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 26-lesson curriculum all about **Machine Learning**. In this curriculum, you will learn about what is sometimes called **classic machine learning**, using primarily Scikit-learn as a library and avoiding deep learning, which is covered in our forthcoming [AI for Beginners' curriculum](https://aka.ms/ai4beginners). Pair these lessons with our ['Data Science for Beginners' curriculum](https://aka.ms/ds4beginners), as well! +Cloud Advocates at Microsoft are pleased to offer a 12-week, 26-lesson curriculum all about **Machine Learning**. In this curriculum, you will learn about what is sometimes called **classic machine learning**, using primarily Scikit-learn as a library and avoiding deep learning, which is covered in our [AI for Beginners' curriculum](https://aka.ms/ai4beginners). Pair these lessons with our ['Data Science for Beginners' curriculum](https://aka.ms/ds4beginners), as well! Travel with us around the world as we apply these classic techniques to data from many areas of the world. Each lesson includes pre- and post-lesson quizzes, written instructions to complete the lesson, a solution, an assignment, and more. Our project-based pedagogy allows you to learn while building, a proven way for new skills to 'stick'.