Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis

Randomized Algorithms

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

Linear Algebra and Learning from Data

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)

Algorithms Illuminated (Part 3): Greedy Algorithms and Dynamic Programming

The Probabilistic Method (Wiley Series in Discrete Mathematics and Optimization)

Algorithms Illuminated (Part 2): Graph Algorithms and Data Structures (Volume 2)

Pattern Recognition and Machine Learning (Information Science and Statistics)

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