Big Books of Spring

Listopia > Machine Learning Book Lists

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
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
103 books — 111 voters

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
184 books — 110 voters
Windows 11 by Allan FaringtonIntroduction to Algorithms by Thomas H. CormenAn Introduction to Statistical Learning by Gareth JamesPattern Recognition and Machine Learning by Christopher M. BishopThe Algorithm Design Manual by Steven S. Skiena
Computer Science, Machine Learning and Data Science
43 books — 82 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
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

Abstract Algebra by David S. DummitLinear Algebra Done Right by Sheldon AxlerPrinciples of Mathematical Analysis by Walter RudinReal and Complex Analysis by Walter RudinThe Princeton Companion to Mathematics by Timothy Gowers
Mathematics · Computer Science · Statistical Science · Machine Learning
143 books — 30 voters
The Author's AI Toolkit by Hank QuenseMachine Learning by Samuel HackZero Point Emotion by Elias VossMachine Learning Mathematics by Samuel HackWho's Afraid of AI? by Thomas Ramge
Must Read AI Books
18 books — 27 voters

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
Mathematics for Machine Learning by Marc Peter DeisenrothThe Elements of Statistical Learning by Trevor HastieDeep Learning by Ian GoodfellowInformation Theory, Inference, and Learning Algorithms by David J.C. MacKayPattern Recognition and Machine Learning by Christopher M. Bishop
Mathematics for Machine Learning
120 books — 13 voters

Introduction to Quantum Mechanics by David J. GriffithsThe Elements of Statistical Learning by Trevor HastieModern Quantum Mechanics by J.J. SakuraiOptions, Futures and Other Derivatives by John C. HullClassical Mechanics by Charles P. Poole Jr.
Mathematics Part II (University of Cambridge)
174 books — 12 voters
Statistical Rethinking by Richard McElreathProbability by Geoffrey R. GrimmettIntroduction to Probability by Joseph K. BlitzsteinFirst Course in Probability, A by Sheldon M. RossTime Series by Robert H. Shumway
Statistical Science Year 1 (MCSL)
12 books — 11 voters

Human Compatible by Stuart RussellThe Hundred-Page Machine Learning Book by Andriy BurkovHands-On Machine Learning with Scikit-Learn, Keras, and Tenso... by Aurélien GéronSuperintelligence by Nick BostromMathematics for Machine Learning by Marc Peter Deisenroth
Machine Learning Year 1 (MCSL)
7 books — 11 voters
Computational Complexity by Sanjeev AroraTypes and Programming Languages by Benjamin C. PierceThe C Programming Language by Brian W. KernighanThe Art of Computer Programming, Volume 1 by Donald Ervin KnuthThe Art of Computer Programming, Volume 2 by Donald Ervin Knuth
Computer Science Year 4 (MCSL)
25 books — 10 voters

The Elements of Statistical Learning by Trevor HastieProbability and Measure by Patrick BillingsleyFoundations of Modern Probability by Olav KallenbergAn Introduction to Probability Theory and Its Applications, V... by William FellerStatistical Inference by George Casella
Statistical Science Year 3 (MCSL)
41 books — 10 voters
Structure and Interpretation of Computer Programs by Harold AbelsonIntroduction to the Theory of Computation by Michael SipserLearn You a Haskell for Great Good! by Miran LipovačaThe Little Schemer by Daniel P. FriedmanFunctional Programming in Scala by Rúnar Bjarnason
Computer Science Year 3 (MCSL)
56 books — 9 voters

An Introduction to Statistical Learning by Gareth JamesBayesian Data Analysis by Professor in the Department...One Thousand Exercises in Probability by Geoffrey R. GrimmettNonlinear Dynamics and Chaos by Steven H. StrogatzProbability Theory by E.T. Jaynes
Statistical Science Year 2 (MCSL)
13 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

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
More than a Glitch by Meredith BroussardWeapons of Math Destruction by Cathy O'NeilInvisible Women by Caroline Criado PérezAtlas of AI by Kate CrawfordAutomating Inequality by Virginia Eubanks
Becoming An Ethical Data Scientist
36 books — 9 voters

Artificial Intelligence by Stuart RussellDeep Learning by Ian GoodfellowIntroduction to Machine Learning by Ethem AlpaydinMachine Learning by Kevin P. MurphyUnderstanding Machine Learning by Shai Shalev-Shwartz
Machine Learning Year 2 (MCSL)
5 books — 8 voters
Algorithmic Game Theory by Noam NisanTheoretical Neuroscience by Peter DayanLearning Theory by Felipe CuckerThe Handbook of Computational Linguistics and Natural Languag... by Alexander ClarkSpringer Handbook of Robotics by Bruno Siciliano
Machine Learning Year 4 (MCSL)
13 books — 8 voters

At the Interface of Algebra and Statistics by Tai-Danae BradleyMathematics for Human Flourishing by Francis SuQuantum Computation and Quantum Information by Michael A. NielsenCategories for the Working Mathematician by Saunders Mac LaneCategory Theory in Context by Emily Riehl
At the Interface of Algebra and Statistics: Quantum Physics, Machine Learning, and Category Theory
23 books — 5 voters
Gödel, Escher, Bach by Douglas R. HofstadterThe Human Use of Human Beings by Norbert WienerA Thousand Brains by Jeff HawkinsRange by David EpsteinAlgorithms to Live By by Brian Christian
Books on (machine) learning - how we and computers learn and 'think'
21 books — 5 voters

Learning Deep Learning by Magnus EkmanIntroduction to LLMs for Business Leaders by I. AlmeidaThe AI Revolution in Medicine by Peter LeeGenerative AI For Business Leaders by I. AlmeidaQuick 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
Machine Learning For Absolute Beginners by Oliver TheobaldNeural Networks and Deep Learning by Charu C. AggarwalPower And Prediction by Ajay AgrawalArtificial Intelligence for Humans, Volume 1 by Jeff HeatonLife 3.0 by Max Tegmark
Behind chatbots
9 books — 1 voter

Deep Learning for Coders with Fastai and Pytorch by Jeremy HowardAn Introduction to Statistical Learning by Gareth JamesThe Elements of Statistical Learning by Trevor Hastie
Learning Deeper
3 books — 1 voter
AI Superpowers by Kai-Fu LeeThe Coming Wave by Mustafa SuleymanCo-Intelligence by Ethan MollickA Brief History of Artificial Intelligence by Michael WooldridgeHow Data Happened by Chris Wiggins
AI Books
8 books — 1 voter

Hands-On Machine Learning with Scikit-Learn and TensorFlow by Aurélien GéronDeep Learning by Ian GoodfellowMachine Learning with PyTorch and Scikit-Learn by Sebastian RaschkaBuild a Large Language Model by Sebastian RaschkaDesigning Machine Learning Systems by Chip Huyen
Machine Learning Engineering
24 books — 1 voter
Designing Multi-Agent Systems by Victor DibiaGenerative AI Design Patterns by Valliappa LakshmananBuilding Applications with AI Agents by Michael AlbadaBuild a Large Language Model by Sebastian Raschka
Best AI Agents Books
4 books — 1 voter

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