Books & Reading
Curated books, reading guides, and written resources from leading AI researchers and practitioners.
8 courses · all free to start
Deep Learning
The canonical deep learning textbook by Goodfellow, Bengio, and Courville — free online.
Understanding Deep Learning
Visual and intuitive deep learning reference book by Simon J.D. Prince — free online.
Reinforcement Learning: An Introduction
The foundational reinforcement learning text by Sutton and Barto — free official PDF.
Foundations of Machine Learning
MIT Press canonical ML theory textbook by Mohri, Rostamizadeh, and Talwalkar — free PDF from authors.
Probabilistic Machine Learning: An Introduction
Canonical probabilistic ML book by Kevin Murphy — free online.
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
Free official online textbook on MARL covering coordination, competition, and modern multi-agent systems.
Algorithmic Aspects of Machine Learning
MIT CSAIL textbook and lecture notes by Ankur Moitra on algorithmic foundations of machine learning — free PDF.
Probabilistic Machine Learning: Advanced Topics
Canonical probabilistic ML advanced topics book by Kevin Murphy — free online, covering deep generative models and inference.