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MIT just quietly dropped a free AI curriculum that puts $50,000 university courses to shame.
12 books.
Zero tuition.
From the same institution that produced the people building the models everyone is talking about.
FOUNDATIONS
1. Foundations of Machine Learning — https://cs.nyu.edu/~mohri/mlbook/
2. Understanding Deep Learning — https://udlbook.github.io/udlbook/
3. Machine Learning Systems — https://mlsysbook.ai/assets/downloads/Machine-Learning-Systems.pdf
ADVANCED TECHNIQUES
4. Algorithms for ML — http://algorithmsbook.com
5. Deep Learning — https://mlsysbook.ai/tinytorch/
REINFORCEMENT LEARNING
6. RL Basics (Sutton & Barto) — https://www.andrew.cmu.edu/course/10-703/textbook/BartoSutton.pdf
7. Distributional RL — url+token
8. Multi-Agent Systems — http://marl-book.com
9. Long Game AI — url +token
ETHICS & PROBABILITY
10. Fairness in ML — http://fairmlbook.org
11. Probabilistic ML Part 1 — https://probml.github.io/pml-book/book1.html
12. Probabilistic ML Part 2 — https://probml.github.io/pml-book/book1.html
This is a complete MIT-level AI education.
Not a YouTube playlist.
Not a Twitter thread full of fluff.
Textbooks written by the researchers who built the field.
The people who actually study this will not just understand AI better than their peers.
They will understand it better than most people currently getting paid to work in it.
Most people will bookmark this and never open it.
The ones who open it tonight are the ones who show up in 12 months having built something nobody around them understands yet.
Bookmark this.
Open the first one tonight.
Follow @cyrilXBT for more resources that actually compound.
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