Bayesian Reasoning and Machine Learning

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)

Information Theory, Inference and Learning Algorithms

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

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

Linear Algebra and Learning from Data

Causality: Models, Reasoning and Inference

Decision Making Under Uncertainty: Theory and Application (MIT Lincoln Laboratory Series)