Recommender Systems: The Textbook
Charu C. Aggarwal
Hyperparameter Optimization in Machine Learning
Luca Franceschi
Computers and Intractability: A Guide to the Theory of NP-completeness
Michael R. Garey & David S. Johnson
Information Retrieval: Implementing and Evaluating Search Engines
Stefan Buttcher & Charles L. A. Clarke & Gordon V. Cormack
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
Statistical Rethinking: A Bayesian Course With Examples in R ...
Richard McElreath
Information Theory, Inference and Learning Algorithms
David J. C. MacKay
Collection of Problems in Probability Theory
L. D. Meshalkin
Information Geometry and Its Applications
Shun-Ichi Amari
Bayesian Data Analysis
Andrew Gelman