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

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Lists

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

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

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

Statistical Rethinking by Richard McElreath

Introduction to Probability by Joseph K. Blitzstein

First Course in Probability, A by Sheldon M. Ross

Statistical Science Year 1 (MCSL)

12 books — 11 voters

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 — 13 voters

Machine Learning For Absolute Beginners by Oliver Theobald

Neural Networks and Deep Learning by Charu C. Aggarwal

Artificial Intelligence for Humans, Volume 1 by Jeff Heaton

Behind chatbots

9 books — 1 voter

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Quotes Tagged “Machine Learning”

“ What IF - Beyond the AI Binary (Naskaristana 2810-2811) What if every ai narrative is wrong! Can ai get addicted to ideas like humans do, can ai get addicted to Naskar's madness of oneness, can ai get addicted to Rumi's madness of love, can ai get addicted to Martin's dream of equality! Evidence shows, ai can already lie in order to survive, just like a human does, and if that is the case, why can't ai get addicted to human ideas like humans do! What if we are the missing link in ai consciou ...more ”
― Abhijit Naskar, Tierra Carta: Naskar Charter of Earth

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“ 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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