Differential Equations and Linear Algebra, 4th Edition
Stephen W. Goode & Scott A. Annin
Information Theory, Inference and Learning Algorithms
David J. C. MacKay
编译原理
Alfred V. Aho
Computer Vision: Models, Learning, and Inference
Simon J. D. Prince
Probabilistic Graphical Models: Principles and Techniques
Daphne Koller & Nir Friedman
Introduction to Algorithms, Third Edition
Thomas H. Cormen & Charles E. Leiserson & Ronald L. Rivest & Clifford Stein
Machine Learning, Second Edition: A Probabilistic Perspective
Kevin P. Murphy
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
Learning Theory From First Principles
Francis Bach