计算机网络: 自顶向下方法
James F. Kurose & Keith W. Ross
Non-Convex Optimization for Machine Learning
Prateek Jain & Purushottam Kar
Reading, Writing, and Proving: A Closer Look at Mathematics
Ulrich Daepp & Pamela Gorkin
Heard on the Street: Quantitative Questions From Wall Street ...
Timothy Falcon Crack
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
Probabilistic Graphical Models: Principles and Techniques
Daphne Koller & Nir Friedman
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer
Proof and the Art of Mathematics: Examples and Extensions
Joel David Hamkins
Learning Theory From First Principles
Francis Bach