Machine Learning

Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions.

Machine Learning Books

Hands-On Machine Learning with Scikit-Learn and TensorFlow

Pattern Recognition and Machine Learning (Information Science and Statistics)

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

Machine Learning: A Probabilistic Perspective

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)

Machine Learning (McGraw-Hill International Editions Computer Science Series)

The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World

Information Theory, Inference, and Learning Algorithms

Artificial Intelligence: A Modern Approach

More machine learning books...

Lists

Introduction to LLMs for Business Leaders by I. Almeida

The AI Revolution in Medicine by Peter Lee

Generative AI For Business Leaders by I. Almeida

Quick Start Guide to Large Language Models by Sinan Ozdemir

Humble Book Bundle : AI, Machine Learning, Deep Learning, and LLM by Pearson

22 books — 2 voters

Reinforcement Learning by Richard S. Sutton

Information Theory, Inference, and Learning Algorithms by David J.C. MacKay

Pattern Recognition and Machine Learning by Christopher M. Bishop

Foundations of Machine Learning by Mehryar Mohri

Handbook of Practical Logic and Automated Reasoning by John E. Harrison

Machine Learning Year 3 (MCSL)

32 books — 9 voters

The Hundred-Page Machine Learning Book by Andriy Burkov

Hands-On Machine Learning with Scikit-Learn, Keras, and Tenso... by Aurélien Géron

Mathematics for Machine Learning by Marc Peter Deisenroth

Machine Learning Year 1 (MCSL)

7 books — 11 voters

Introduction to Quantum Mechanics by David J. Griffiths

The Elements of Statistical Learning by Trevor Hastie

Modern Quantum Mechanics by J.J. Sakurai

Options, Futures and Other Derivatives by John C. Hull

Classical Mechanics by Charles P. Poole Jr.

Mathematics Part II (University of Cambridge)

175 books — 16 voters

At the Interface of Algebra and Statistics by Tai-Danae Bradley

Mathematics for Human Flourishing by Francis Su

Quantum Computation and Quantum Information by Michael A. Nielsen

Categories for the Working Mathematician by Saunders Mac Lane

Category Theory in Context by Emily Riehl

At the Interface of Algebra and Statistics: Quantum Physics, Machine Learning, and Category Theory

23 books — 5 voters

Introduction to Algorithms by Thomas H. Cormen

An Introduction to Statistical Learning by Gareth James

Great Principles of Computing by Peter J. Denning

Computer Science, Machine Learning and Data Science

47 books — 94 voters

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Great New Books to Read for Hispanic Heritage Month

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Quotes Tagged “Machine Learning”

“ As soon as something incredible happens, and I think I can take on the world, then boom, a warhead drops a payload on me. ”
― H. Meadow Hopewell, Rage Against the Machine

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