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

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

The Handbook of Computational Linguistics and Natural Languag... by Alexander Clark

Springer Handbook of Robotics by Bruno Siciliano

Machine Learning Year 4 (MCSL)

13 books — 8 voters

Designing Multi-Agent Systems by Victor Dibia

Generative AI Design Patterns by Valliappa Lakshmanan

Building Applications with AI Agents by Michael Albada

Best AI Agents Books

4 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

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

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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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“ Artificial intelligence is defined as the branch of science and technology that is concerned with the study of software and hardware to provide machines with the ability to learn insights from data and the environment, and the ability to adapt to changing situations with increasing precision, accuracy, and speed. ”
― Amit Ray, Compassionate Artificial Superintelligence AI 5.0

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