Be Charmed by These Bewitching Books from 2025

Listopia > Machine Learning Book Lists

All Systems Red by Martha WellsAutonomous by Annalee NewitzKlara and the Sun by Kazuo IshiguroAnnie Bot by Sierra GreerThe Caves of Steel by Isaac Asimov
A.I./Androids/Robot main characters
55 books — 23 voters
Together by Zoltan AndrejkovicsCompassionate Artificial Superintelligence AI 5.0 by Amit RayThe Singularity is Coming by Tony ThorneSuperintelligence by Nick BostromCompassionate Artificial Intelligence by Amit Ray
Artificial Superintelligence Books
15 books — 21 voters

Machine Learning with Neural Networks by Michael TaylorThe Math of Neural Networks by Michael TaylorMachine Learning by Samuel HackPattern Recognition and Machine Learning by Christopher M. BishopMachine Learning Mathematics by Samuel Hack
Building Artificial Neural Networks
16 books — 13 voters
Machine Learning with Neural Networks by Michael TaylorDecision Trees and Random Forests by Chris SmithCompassionate Artificial Superintelligence AI 5.0 by Amit RayMachine Learning by Samuel HackMachine Learning Mathematics by Samuel Hack
Getting Started in Machine Learning with Python
16 books — 11 voters

Introduction to Computation and Programming Using Python by John V. GuttagComputational Mathematics with SageMath by Paul ZimmermannThe Science of Computing by Matti TedreIntroduction to Applied Linear Algebra by Stephen BoydNumerical Methods in Physics with Python by Alex Gezerlis
Computer Science Year 1 (MCSL)
10 books — 11 voters
More than a Glitch by Meredith BroussardAutomating Inequality by Virginia EubanksHello World by Hannah FryMachine Learning by Samuel HackDigital Madness by Nicholas Kardaras
Algorithmic Justice
21 books — 10 voters

Abstract Algebra by David S. DummitLinear Algebra and Its Applications by Gilbert StrangLinear Algebra Done Right by Sheldon AxlerA Book of Abstract Algebra by Charles C. PinterContemporary Abstract Algebra by Joseph A. Gallian
Mathematics Year 2 (MCSL)
51 books — 10 voters
Algebra by Serge LangAlgebraic Geometry by Robin HartshorneCommutative Algebra by David EisenbudAlgebraic Number Theory by Serge LangPartial Differential Equations by Lawrence C. Evans
Mathematics Year 4 (MCSL)
40 books — 9 voters

Real and Complex Analysis by Walter RudinPrinciples of Mathematical Analysis by Walter RudinAlgebra by Thomas W. HungerfordIntroduction To Commutative Algebra by Atiyah M.F.Representations and Characters of Groups by Gordon James
Mathematics Year 3 (MCSL)
81 books — 7 voters
Supervised Learning with Linear Regression by Stephen Donald HuffMachine Learning by Samuel HackMachine Learning for Imbalanced Data by Kumar AbhishekHumAIn by Amanda GibbsGraph Models for Deep Learning by Stephen Donald Huff
Best Machine Learning and AI Books
10 books — 4 voters

Machine Learning by Samuel HackMachine Learning Mathematics by Samuel HackMachine Learning For Absolute Beginners by Oliver TheobaldMachine Learning by Steven SamelsonMachine Learning for Absolute Beginners by Jennifer Grange
Machine Learning For Product Managers
12 books — 3 voters
Practical Statistics for Data Scientists by Peter BrucePractical Tableau by Ryan SleeperGraphing Data with R by John Jay HilfigerDeep Learning Cookbook by Douwe OsingaLearning TensorFlow by Tom Hope
Humble Bundle: Data Analysis & Machine Learning by O'Reilly
15 books — 3 voters

A Probabilistic Theory of Pattern Recognition by Luc DevroyeFoundations of Machine Learning by Mehryar MohriUnderstanding Machine Learning by Shai Shalev-ShwartzGeometric Modeling in Probability and Statistics by Ovidiu CalinConcentration Inequalities by Stéphane Boucheron
Machine Learning for the Pure Mathematician
54 books — 3 voters
Multiagent Systems by Yoav ShohamGames and Decisions by R. Duncan LuceA Course in Game Theory by Martin J. OsborneAn Introduction to Game Theory by Martin J. OsborneGame Theory by Michael Maschler
Computational Game Theory (University of Oxford)
7 books — 3 voters

Reinforcement Learning by Richard S. SuttonMarkov Decision Processes by Martin L. PutermanAlgorithms for Reinforcement Learning by Csaba SzepesvariConvex Optimization by Stephen BoydAlgorithms for Reinforcement Learning by Csaba Szepesvari
Reinforcement Learning
18 books — 3 voters
DataOps Cookbook by Christopher BerghPractical Dataops by Harvinder AtwalDataOps by John SchmidtCreating a Data-Driven Enterprise with DataOps by Ashish ThusooData Pipelines with Apache Airflow by Bas P. Harenslak
DataOps, Data Version Control for Data Science
6 books — 2 voters

Tools and Weapons by Brad SmithPreparing for the rebound after the COVID-19 crisis by Atos Scientific CommunityRebooting AI by Gary F. MarcusThe Age of Surveillance Capitalism by Shoshana ZuboffThe Big Nine by Amy Webb
2021 Personal reading list- Technology
15 books — 2 voters
Introducing Game Theory and its Applications by Kenneth H. RosenThe Compleat Strategyst by J.D. WilliamsGames and Decisions by R. Duncan LuceTheory of Games and Statistical Decisions by David A. BlackwellStatistical Decision Theory and Bayesian Analysis by James O. Berger
M3S11/M4S11 Games, Risks and Decisions (Imperial College London)
15 books — 2 voters

Introduction to Linear Algebra by Gilbert StrangIn All Likelihood by Yudi PawitanConvex Optimization by Stephen BoydOptimization by Vector Space Methods by David G. LuenbergerCausal Inference in Statistics by Judea Pearl
Sridhar Mahadevan's 20 math books for Machine Learning
21 books — 1 voter
What Computers Still Can't Do by Hubert L. DreyfusThe Allure of Machinic Life by John JohnstonLearning in Embedded Systems by Leslie Pack KaelblingArtificial Intelligence by John HaugelandArtificial Minds by Stan Franklin
Humble Book Bundle: Artificial Intelligence by MIT Press
17 books — 1 voter

Statistical Inference by George CasellaA Course in Large Sample Theory by Thomas S. FergusonElements of Large-Sample Theory by Erich L. LehmannAsymptotic Statistics by A.W. van der VaartIntroduction to Nonparametric Estimation by Alexandre B. Tsybakov
Machine learning books suggested by prof. Michael I. Jordan from Berkeley
16 books — 1 voter
Evolutionary Games and Population Dynamics by Josef HofbauerThe Calculus of Selfishness by Karl SigmundEvolutionary Game Theory by Jörgen W. WeibullEvolutionary Dynamics and Extensive Form Games by Ross CressmanReinforcement Learning by Richard S. Sutton
MATH97069 Dynamics of Games (Imperial College London)
9 books — 1 voter

Superintelligence by Nick BostromHuman Compatible by Stuart RussellThe Precipice by Toby OrdLife 3.0 by Max TegmarkSuperforecasting by Philip E. Tetlock
AI Governance
5 books — 1 voter

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