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A First Course in Mathematical Modeling
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Statistical Rethinking: A Bayesian Course With Examples in R ...
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How to Prove It: A Structured Approach
Daniel J. Velleman
Probabilistic Graphical Models: Principles and Techniques
Daphne Koller & Nir Friedman
Algorithm Design
Jon Kleinberg & Éva Tardos
算法设计
Jon Kleinberg
Theory and Computation of Electromagnetic Fields
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Non-Convex Optimization for Machine Learning
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多处理器编程的艺术
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Book of Proof
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Proof and the Art of Mathematics: Examples and Extensions
Joel David Hamkins
Pen and Paper Exercises in Machine Learning
Michael U. Gutmann
Forecasting Economic Time Series
C. W. J. Granger & Paul Newbold & Karl Shell
Differential Equations and Linear Algebra, 4th Edition
Stephen W. Goode & Scott A. Annin
Matrix Computations
Gene Howard Golub & Charles F. van Loan
矩阵计算
Gene H. Golub & Charles F. van Loan
零信任网络: 在不可信网络中构建安全系统
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Bayesian Data Analysis
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Computers and Intractability: A Guide to the Theory of NP-completeness
Michael R. Garey & David S. Johnson
Hyperparameter Optimization in Machine Learning
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Reading, Writing, and Proving: A Closer Look at Mathematics
Ulrich Daepp & Pamela Gorkin
Mathematical Thinking: Problem-Solving and Proofs 2nd Edition
John P. D'Angelo & Douglas Brent West
Proofs: A Long-Form Mathematics Textbook
Jay Cummings
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
算法导论
Thomas H. Cormen
Computational Methods for Electromagnetic Inverse Scattering
Xudong Chen
Information Retrieval: Implementing and Evaluating Search Engines
Stefan Buttcher & Charles L. A. Clarke & Gordon V. Cormack
Computer Systems: A Programmer's Perspective Plus Masteringengineering ...
Randal E. Bryant & David R. O'Hallaron
深入理解计算机系统
Randal E. Bryant
Pattern Recognition and Machine Learning
Christopher M. Bishop
编程珠玑
Jon Bentley
Advanced Engineering Electromagnetics
Constantine A. Balanis
Learning Theory From First Principles
Francis Bach
Elements of Programming Interviews: The Insiders' Guide
Adnan Aziz & Tsung-Hsien Lee & Amit Prakash
Information Geometry and Its Applications
Shun-Ichi Amari
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer
Matrix Calculus (for Machine Learning and Beyond)
Alan Edelman, Steven G. Johnson
编译原理
Alfred V. Aho
Recommender Systems: The Textbook
Charu C. Aggarwal
Electromagnetic Metasurfaces: Theory and Applications
Karim Achouri & Christophe Caloz