Prediction, Learning, and Games

Understanding Machine Learning: From Theory to Algorithms

Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning series)

High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics)

Linear Algebra and Learning from Data

High-Dimensional Statistics: A Non-Asymptotic Viewpoint (Cambridge Series in Statistical and Probabilistic Mathematics)

Foundations of Machine Learning (Adaptive Computation and Machine Learning series)

Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)