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Algorithms and Combinatorics (2)
Information Geometry and Its Applications
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Computer Vision: Models, Learning, and Inference
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Theory and Computation of Electromagnetic Fields
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Statistical Rethinking: A Bayesian Course With Examples in R ...
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Python工匠：案例、技巧与工程实践
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Proofs: A Long-Form Mathematics Textbook
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Proofs and Refutations: The Logic of Mathematical Discovery
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Proof and the Art of Mathematics: Examples and Extensions
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Probabilistic Graphical Models: Principles and Techniques
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Physics-based Deep Learning
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Pen and Paper Exercises in Machine Learning
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Pattern Recognition and Machine Learning: Solutions to Exercises ...
Markus Svensén & Christopher M. Bishop
Pattern Recognition and Machine Learning
Christopher M. Bishop
Numerical Optimization
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Springer Series in Operations Research (1)
Non-Convex Optimization for Machine Learning
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Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
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Measurement
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The Matrix Cookbook
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Matrix Computations
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Matrix Calculus (for Machine Learning and Beyond)
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Mathematical Thinking: Problem-Solving and Proofs 2nd Edition
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Machine Learning, Second Edition: A Probabilistic Perspective
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Linear Algebra Done Right, 4th edition
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