Entropy and Diversity: The Axiomatic Approach
Tom Leinster
Pattern Recognition and Machine Learning
Christopher M. Bishop
零信任网络: 在不可信网络中构建安全系统
Evan Gilman
编译原理
Alfred V. Aho
Information Geometry and Its Applications
Shun-Ichi Amari
Bayesian Data Analysis
Andrew Gelman
Forecasting Economic Time Series
C. W. J. Granger & Paul Newbold & Karl Shell
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
Statistical Rethinking: A Bayesian Course With Examples in R ...
Richard McElreath
Collection of Problems in Probability Theory
L. D. Meshalkin
Machine Learning, Second Edition: A Probabilistic Perspective
Kevin P. Murphy