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Advanced Engineering Electromagnetics
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Filtering and System Identification: A Least Squares Approach
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Bayesian Data Analysis
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Beginning Mathematical Logic: A Study Guide
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Matrix Calculus (for Machine Learning and Beyond)
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Hyperparameter Optimization in Machine Learning
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Book of Proof
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Everything You Always Wanted To Know About Mathematics
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Linear Algebra Done Right, 4th edition
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Electromagnetic Metasurfaces: Theory and Applications
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Statistical Rethinking: A Bayesian Course With Examples in R ...
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Pen and Paper Exercises in Machine Learning
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Pattern Recognition and Machine Learning: Solutions to Exercises ...
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The Matrix Cookbook
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Entropy and Diversity: The Axiomatic Approach
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Collection of Problems in Probability Theory
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Proofs and Refutations: The Logic of Mathematical Discovery
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Forecasting Economic Time Series
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Calculus
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A First Course in Mathematical Modeling
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Numerical Optimization
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Springer Series in Operations Research (1)
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Heard on the Street: Quantitative Questions From Wall Street ...
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Information Theory, Inference and Learning Algorithms
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Combinatorial Optimization: Theory and Algorithms
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Algorithms and Combinatorics (1)
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Jon Kleinberg & Éva Tardos
算法设计
Jon Kleinberg
算法导论
Thomas H. Cormen
Pattern Recognition and Machine Learning
Christopher M. Bishop
Algorithms and Combinatorics (2)
Clean Code: A Handbook of Agile Software Craftsmanship
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Richard H. Hammack
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Probabilistic Graphical Models: Principles and Techniques
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Introduction to Algorithms, Third Edition
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Reading, Writing, and Proving: A Closer Look at Mathematics
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C++ Primer Plus
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