Statistical Rethinking: A Bayesian Course With Examples in R ...
Richard McElreath
Proof and the Art of Mathematics: Examples and Extensions
Joel David Hamkins
Probabilistic Graphical Models: Principles and Techniques
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Non-Convex Optimization for Machine Learning
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Computer Vision: Models, Learning, and Inference
Simon J. D. Prince
Information Theory, Inference and Learning Algorithms
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