Matrix Computations
Gene Howard Golub & Charles F. van Loan
Heard on the Street: Quantitative Questions From Wall Street ...
Timothy Falcon Crack
算法导论
Thomas H. Cormen
Bayesian Data Analysis
Andrew Gelman
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