> 🌍 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!
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'.
@ -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)
Pikachú
5 months ago
committed by
GitHub