Stochastic Processes: Theory for Applications

Probability and Stochastics (Graduate Texts in Mathematics, Vol. 261)

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

Linear Algebra and Learning from Data

Introduction to Stochastic Processes with R

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

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

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

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

Introduction to Probability, 2nd Edition

Deep Learning (Adaptive Computation and Machine Learning series)