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)

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

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

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

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

Computational Complexity by Sanjeev Arora

Types and Programming Languages by Benjamin C. Pierce

The C Programming Language by Brian W. Kernighan

The Art of Computer Programming, Volume 1 by Donald Ervin Knuth

The Art of Computer Programming, Volume 2 by Donald Ervin Knuth

Computer Science Year 4 (MCSL)

25 books — 10 voters

The Alignment Problem by Brian Christian

The Age of AI and Our Human Future by Henry Kissinger

The Future of Human and Machine

180 books — 106 voters

An Introduction to Statistical Learning by Gareth James

Bayesian Data Analysis by Professor in the Department...

One Thousand Exercises in Probability by Geoffrey R. Grimmett

Nonlinear Dynamics and Chaos by Steven H. Strogatz

Statistical Science Year 2 (MCSL)

13 books — 9 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

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Quotes Tagged “Machine Learning”

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― A.R. Merrydew

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