MIT's 12 Free AI Textbooks: Deep Learning, RL, Fairness All With Links
luisdans · x · 2026-11-06
A curated list of MIT's free AI textbooks is circulating online, with the poster claiming it beats most paid courses. The 12 books span four areas:
- Foundations: Foundations of Machine Learning, Understanding Deep Learning, Machine Learning Systems
- Advanced: Algorithms for ML, the definitive Deep Learning textbook
- Reinforcement Learning: Sutton & Barto's classic, Distributional RL, Multi-Agent Systems (marl-book.com), Long Game AI
- Ethics & Probability: Fairness in ML (fairmlbook.org) and Probabilistic ML Parts 1 & 2
All books are freely accessible online with links included, offering a full self-study path from ML basics to advanced topics.
More from Companies & People
- Alphabet CEO touts full-stack AI strategy from custom silicon to billion-user products — vitaliychiley · 2026-11-06
- Microsoft killed its first mass-deployed AI agent Bing Chat — and users miss it — repligate · 2026-11-06
- ETH Zurich releases full open-source VLSI course: 12 lectures plus OpenROAD-based exercises — Obijuan_cube · 2026-11-06
- Mystery OpenAI gift card with giant smiling face shows up at AI researcher's doorstep — Yuchenj_UW · 2026-11-06
- Analyst: "Anthropic is after our data" is becoming the go-to grifter pitch — teortaxesTex · 2026-11-06
- Physical AI meetup in India: 4 robotics founders on real factory deployments and eval loops — carrycooldude · 2026-11-06