12 books in series

Adaptive Computation and Machine Learning

Adaptive Computation and Machine Learning is a 11-book series first released in 1993 with contributions by Pierre Baldi, Søren Brunak, and 20 others.

Bioinformatics: The Machine Learning Approach
PopularFirst

1998 • 1 Reader • 492 pages

Boosting: Foundations and Algorithms

2012 • 1 Reader • 544 pages

Cover 1

Causation, Prediction, and Search

1993 • 1 Reader

Deep Learning

2016 • 18 Readers • 800 pages • 4.8

Distributional Reinforcement Learning

2023 • 1 Reader • 385 pages

Foundations of Machine Learning

2012 • 1 Reader • 427 pages

Gaussian Processes for Machine Learning

2005 • 248 pages

Cover 0

Introduction to Machine Learning

2004 • 1 Reader • 584 pages

Introduction to Statistical Relational Learning

2007 • 1 Reader • 602 pages

Machine Learning: A Probabilistic Perspective

4 Readers

Probabilistic Graphical Models: Principles and Techniques

2009 • 1,268 pages

Probabilistic Machine Learning: An Introduction

2022 • 1 Reader • 858 pages