计算机网络: 自顶向下方法
James F. Kurose & Keith W. Ross
Computer Vision: Models, Learning, and Inference
Simon J. D. Prince
Filtering and System Identification: A Least Squares Approach
Michel Verhaegen & Vincent Verdult
Physics-based Deep Learning
N. Thuerey, B. Holzschuh, P. Holl, G. Kohl, M. Lino, Q. Liu, ...
Introduction to Algorithms, Third Edition
Thomas H. Cormen & Charles E. Leiserson & Ronald L. Rivest & Clifford Stein
Learning Theory From First Principles
Francis Bach
Machine Learning, Second Edition: A Probabilistic Perspective
Kevin P. Murphy
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
Proof and the Art of Mathematics: Examples and Extensions
Joel David Hamkins