Bayesian Data Analysis
Andrew Gelman
Computer Vision: Models, Learning, and Inference
Simon J. D. Prince
The Design of Approximation Algorithms
David P. Williamson & David B. Shmoys
Collection of Problems in Probability Theory
L. D. Meshalkin
Everything You Always Wanted To Know About Mathematics
Brendan W. Sullivan
Matrix Calculus (for Machine Learning and Beyond)
Alan Edelman, Steven G. Johnson
Reading, Writing, and Proving: A Closer Look at Mathematics
Ulrich Daepp & Pamela Gorkin
Proofs: A Long-Form Mathematics Textbook
Jay Cummings
Proofs and Refutations: The Logic of Mathematical Discovery
Imre Lakatos
Calculus
Gilbert Strang
A First Course in Mathematical Modeling
Frank R. Giordano & Maurice D. Weir & William P. Fox
Probabilistic Graphical Models: Principles and Techniques
Daphne Koller & Nir Friedman
Matrix Computations
Gene Howard Golub & Charles F. van Loan
Mathematical Thinking: Problem-Solving and Proofs 2nd Edition
John P. D'Angelo & Douglas Brent West
Introduction to Linear Algebra 5th Edition
The Matrix Cookbook
Kaare Brandt Petersen & Michael Syskind Pedersen
矩阵计算
Gene H. Golub & Charles F. van Loan
Numerical Optimization
Jorge Nocedal & Stephen J. Wright
Springer Series in Operations Research (1)