Pattern Recognition and Machine Learning: Solutions to Exercises ...
Christopher M. Bishop & Markus Svensén
多处理器编程的艺术
Maurice Herlihy
Information Theory, Inference and Learning Algorithms
David J. C. MacKay
Non-Convex Optimization for Machine Learning
Prateek Jain & Purushottam Kar
Learning Theory From First Principles
Francis Bach
Proof and the Art of Mathematics: Examples and Extensions
Joel David Hamkins
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer
Probabilistic Graphical Models: Principles and Techniques
Daphne Koller & Nir Friedman
Machine Learning, Second Edition: A Probabilistic Perspective
Kevin P. Murphy
Introduction to Algorithms, Third Edition
Thomas H. Cormen & Charles E. Leiserson & Ronald L. Rivest & Clifford Stein