Information Geometry and Its Applications
Shun-Ichi Amari
Hyperparameter Optimization in Machine Learning
Luca Franceschi
编程珠玑
Jon Bentley
Statistical Rethinking: A Bayesian Course With Examples in R ...
Richard McElreath
Forecasting Economic Time Series
C. W. J. Granger & Paul Newbold & Karl Shell
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
Information Theory, Inference and Learning Algorithms
David J. C. MacKay
Collection of Problems in Probability Theory
L. D. Meshalkin
Bayesian Data Analysis
Andrew Gelman