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.

Hands-On Machine Learning with Scikit-Learn and TensorFlow
Pattern Recognition and Machine Learning (Information Science and Statistics)
Deep Learning
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
The Hundred-Page Machine Learning Book
Machine Learning: A Probabilistic Perspective
Deep Learning with Python
Python Machine Learning
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
AI Doctor by Ronald M. RazmiThe Alignment Problem by Brian  ChristianThe Age of AI and Our Human Future by Henry KissingerThe Book of Why by Judea PearlUnmasking AI by Joy Buolamwini
The Future of Human and Machine
194 books — 120 voters
Reinforcement Learning by Richard S. SuttonInformation Theory, Inference, and Learning Algorithms by David J.C. MacKayPattern Recognition and Machine Learning by Christopher M. BishopFoundations of Machine Learning by Mehryar MohriHandbook of Practical Logic and Automated Reasoning by John E. Harrison
Machine Learning Year 3 (MCSL)
32 books — 9 voters

Foundations of Data Science by Avrim BlumStochastic Differential Equations by Bernt ØksendalAlgebraic Geometry and Statistical Learning Theory by Sumio WatanabeProbability on Trees and Networks by Russell LyonsAlgebraic Statistics by Seth Sullivant
Statistical Science Year 4 (MCSL)
20 books — 9 voters
AI Doctor by Ronald M. RazmiPattern Recognition and Machine Learning by Christopher M. BishopUnmasking AI by Joy BuolamwiniThe Coming Wave by Mustafa SuleymanThe Elements of Statistical Learning by Trevor Hastie
Machine Learning
107 books — 113 voters

A.R. Merrydew
Mastering the technology to create effigies of our ourselves, will be our downfall.
A.R. Merrydew

Cory Doctorow
It's fine to be "anti-AI bubble," but it's pretty silly to be "anti-statistical analysis" and "anti-machine learning" and "anti-automated inference." Long after the bubble is gone, many of these tools will recede to the status of boring utilities, nurtured by open-source weirdos and a few ambitious startups. ...more
Cory Doctorow

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