Probability Theory: The Logic of Science

Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)

Causality: Models, Reasoning and Inference

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

Pattern Recognition and Machine Learning (Information Science and Statistics)

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

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

Statistical Rethinking: A Bayesian Course with Examples in R and Stan (Chapman & Hall/CRC Texts in Statistical Science)

Deep Learning (Adaptive Computation and Machine Learning series)

Linear Algebra and Learning from Data

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan