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Non-Convex Optimization for Machine Learning
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算法导论
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Learning Theory From First Principles
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Elements of Programming Interviews: The Insiders' Guide
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Electromagnetic Metasurfaces: Theory and Applications
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Computational Methods for Electromagnetic Inverse Scattering
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Clean Code: A Handbook of Agile Software Craftsmanship
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Antenna Engineering Handbook, Fourth Edition
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Advanced Engineering Electromagnetics
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A First Course in Mathematical Modeling
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Electromagnetic Wave Theory
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Theory and Computation of Electromagnetic Fields
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Linear Algebra Done Right, 4th edition
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Differential Equations and Linear Algebra, 4th Edition
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Collection of Problems in Probability Theory
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Calculus
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Writing Well and Being Well for Your PhD and Beyond: How to ...
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Why Greatness Cannot Be Planned: The Myth of the Objective
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The Landscapes of Science and Religion: What Are We Disagreeing ...
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The Design of Approximation Algorithms
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Proofs and Refutations: The Logic of Mathematical Discovery
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Proofs: A Long-Form Mathematics Textbook
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Physics-based Deep Learning
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Measurement
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Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
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Information Geometry and Its Applications
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How to Prove It: A Structured Approach
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Proof and the Art of Mathematics: Examples and Extensions
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Digital Minimalism: Choosing a Focused Life in a Noisy World
Cal Newport
Book of Proof
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Hyperparameter Optimization in Machine Learning
Luca Franceschi
Matrix Calculus (for Machine Learning and Beyond)
Alan Edelman, Steven G. Johnson
Entropy and Diversity: The Axiomatic Approach
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Beginning Mathematical Logic: A Study Guide
Peter Smith
Bayesian Data Analysis
Andrew Gelman
Richard H. Hammack
Everything You Always Wanted To Know About Mathematics
Brendan W. Sullivan