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
Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
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
Calculus by Michael SpivakHow to Solve It  by George PólyaHow to Prove It by Daniel J. VellemanUnderstanding Analysis by Stephen AbbottIntroduction to Linear Algebra by Gilbert Strang
Mathematics Year 1 (MCSL)
44 books — 14 voters
AI Doctor by Ronald M. RazmiDeep Utopia by Nick BostromCo-Intelligence by Ethan MollickSuperintelligence by Nick BostromUnmasking AI by Joy Buolamwini
Best machine learning books
86 books — 78 voters

The Signal and the Noise by Nate SilverThe Elements of Statistical Learning by Trevor HastieMoneyball by Michael   LewisThe Visual Display of Quantitative Information by Edward R. TufteAn Introduction to Statistical Learning by Gareth James
Data Science - Learning About Data
133 books — 121 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 Superpowers by Kai-Fu LeeA Fractured I.T. by Maurice   JohnsonThe Coming Wave by Mustafa SuleymanCo-Intelligence by Ethan MollickA Brief History of Artificial Intelligence by Michael Wooldridge
AI Books
9 books — 2 voters
eMortal by Steve  SchaferThe Singularity is Coming by Tony  ThorneTogether by Zoltan AndrejkovicsMachine Learning by Samuel HackRise of the Robots by Martin Ford
The next big thing in tech
34 books — 31 voters

Quantum attention functions are the keys to quantum machine learning.
Quantum attention functions are the keys to quantum machine learning.
Amit Ray, Quantum Computing Algorithms for Artificial Intelligence

Abhijit Naskar
AI is acceptable as a tool in hands, but never as substitute for the hands.
Abhijit Naskar, Hazrat-e Humanity: The Uncultured Polyglot

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