Proof and the Art of Mathematics: Examples and Extensions
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Hyperparameter Optimization in Machine Learning
Luca Franceschi
Bayesian Data Analysis
Andrew Gelman
Pattern Recognition and Machine Learning: Solutions to Exercises ...
Christopher M. Bishop & Markus Svensén
Collection of Problems in Probability Theory
L. D. Meshalkin
Forecasting Economic Time Series
C. W. J. Granger & Paul Newbold & Karl Shell
Information Geometry and Its Applications
Shun-Ichi Amari
Information Theory, Inference and Learning Algorithms
David J. C. MacKay
Machine Learning, Second Edition: A Probabilistic Perspective
Kevin P. Murphy
Pen and Paper Exercises in Machine Learning
Michael U. Gutmann
Probabilistic Graphical Models: Principles and Techniques
Daphne Koller & Nir Friedman
Statistical Rethinking: A Bayesian Course With Examples in R ...
Richard McElreath