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What is ML for Beginners?
ML for Beginners is a free, open-source 12-week machine learning curriculum from Microsoft, using classic (non-deep-learning) ML techniques and real-world datasets, designed to be approachable for complete beginners.
Key features
- Full 12-week curriculum covering classic machine learning
- Quizzes and hands-on projects for each lesson
- Real-world datasets spanning many different domains
- Entirely free and open-source on GitHub
- Available in multiple languages through community translation
How to get started
- Go to the ML for Beginners GitHub site or repository
- Work through lessons in order, starting from the introduction
- Complete quizzes and projects to reinforce each concept
- Fork the repository if you want to adapt it for teaching others
Use cases
- Complete beginners learning classic machine learning concepts
- Teachers looking for a free, ready-made ML curriculum
- Self-study with structured weekly pacing
- Learning core ML techniques before moving into deep learning
ML for Beginners vs. alternatives
| Tool | How it compares |
|---|---|
| ML for Beginners | Microsoft's free, open-source machine learning curriculum. |
| fast.ai | deep learning focus instead of classic ML |
| Kaggle | practice-based learning through competitions |
FAQ
Is ML for Beginners free to use?
ML for Beginners's plans: Free, open-source. Pricing and free-tier limits change over time, so check the official site above for the latest details.
What is ML for Beginners used for?
Microsoft's free, open-source machine learning curriculum.
Who is ML for Beginners best for?
ML for Beginners is a good fit for complete beginners learning classic machine learning concepts, or teachers looking for a free, ready-made ML curriculum.
What are the alternatives to ML for Beginners?
Commonly compared alternatives include fast.ai and Kaggle, see the comparison above for how they differ.
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KLast reviewed: 2026-08 · Reviewed by AIKetra editors · How we evaluate tools