Browse AI courses
5 courses · all free to start
Books / Reading Sources
Mohri
Foundations of Machine Learning
MIT Press canonical ML theory textbook by Mohri, Rostamizadeh, and Talwalkar — free PDF from authors.
Books / Reading Sources
Kevin Murphy
Probabilistic Machine Learning: An Introduction
Canonical probabilistic ML book by Kevin Murphy — free online.
Books / Reading Sources
Albrecht
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
Free official online textbook on MARL covering coordination, competition, and modern multi-agent systems.
Books / Reading Sources
Ankur Moitra
Algorithmic Aspects of Machine Learning
MIT CSAIL textbook and lecture notes by Ankur Moitra on algorithmic foundations of machine learning — free PDF.
Books / Reading Sources
Kevin Murphy
Probabilistic Machine Learning: Advanced Topics
Canonical probabilistic ML advanced topics book by Kevin Murphy — free online, covering deep generative models and inference.