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

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

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

Artificial Intelligence: A Modern Approach

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Lists

Gödel, Escher, Bach by Douglas R. Hofstadter

The Human Use of Human Beings by Norbert Wiener

Algorithms to Live By by Brian Christian

Books on (machine) learning - how we and computers learn and 'think'

21 books — 5 voters

More than a Glitch by Meredith Broussard

Weapons of Math Destruction by Cathy O'Neil

Invisible Women by Caroline Criado Pérez

Automating Inequality by Virginia Eubanks

Becoming An Ethical Data Scientist

36 books — 9 voters

Mathematics for Machine Learning by Marc Peter Deisenroth

The Elements of Statistical Learning by Trevor Hastie

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

Pattern Recognition and Machine Learning by Christopher M. Bishop

Mathematics for Machine Learning

120 books — 12 voters

The Visual Display of Quantitative Information by Edward R. Tufte

An Introduction to Statistical Learning by Gareth James

Data Science - Learning About Data

133 books — 121 voters

Structure and Interpretation of Computer Programs by Harold Abelson

Introduction to the Theory of Computation by Michael Sipser

Learn You a Haskell for Great Good! by Miran Lipovača

The Little Schemer by Daniel P. Friedman

Functional Programming in Scala by Rúnar Bjarnason

Computer Science Year 3 (MCSL)

56 books — 9 voters

Hands-On Machine Learning with Scikit-Learn and TensorFlow by Aurélien Géron

Machine Learning with PyTorch and Scikit-Learn by Sebastian Raschka

Build a Large Language Model by Sebastian Raschka

Designing Machine Learning Systems by Chip Huyen

Machine Learning Engineering

24 books — 1 voter

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Quotes Tagged “Machine Learning”

“ The power of one man’s imagination is infinite. The disinterest of the human race in facing the obvious, is exponentially far greater. ”
― A.R. Merrydew

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“ To the extent that AI mimics human intelligence without being sentient we have to weigh the output against the shortcomings. AI can help to cure certain diseases, but it will also replicate highly dysfunctional behaviors. Developers say they can control for these adverse behaviors. Yet behavioral psychologists themselves don't fully understand them. ...more ”
― James Rickards, MoneyGPT: AI and the Threat to the Global Economy

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