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Listopia > Data Science Book Lists

Web Hacking Arsenal by Rafay BalochAI Doctor by Ronald M. RazmiThe Book of Why by Judea PearlAI 2041 by Kai-Fu LeeA Brief History of Intelligence by Max Solomon Bennett
Future Technology (nonfiction)
93 books — 178 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

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. RazmiSuperintelligence by Nick BostromCo-Intelligence by Ethan MollickDeep Utopia by Nick BostromThe Alignment Problem by Brian Christian
Best machine learning books
85 books — 78 voters

The Blindspots Between Us by Gleb TsipurskyAdapt and Plan for the New Abnormal of the COVID-19 Coronavir... by Gleb TsipurskyPro Truth by Gleb TsipurskyNever Go With Your Gut by Gleb TsipurskyLeading Hybrid and Remote Teams by Gleb Tsipursky
Information, science and culture
45 books — 55 voters
The Author's AI Toolkit by Hank QuenseMachine Learning with Neural Networks by Michael TaylorDeep Learning by Ian GoodfellowNeural Networks and Deep Learning by Michael NielsenThe Math of Neural Networks by Michael Taylor
Artificial Neural Networks and Deep Learning
34 books — 38 voters

17 Reasons Why Businesses Fail by Pooja AgnihotriAnthony Robbins by George IlianArtificial Intelligence and Machine Learning for Business by Steven FinlayThe Flight of a Wild Duck by Avram MillerCognitive Biases by Murat Durmus
Books for Business leadership in the age of data science and Artificial Intelligence
22 books — 24 voters
De Rerum Natura by David HillstromMillionaire Janitor by Lorn BergstresserHappy Returns by Benedict MaynardMe, Myself, and Us by Brian LittleQuiet by Susan Cain
Nonfiction Books to Learn Something New
40 books — 14 voters

Uprooted by Peter J. BoniMore than a Glitch by Meredith BroussardAlgorithms of Oppression by Safiya Umoja NobleRace After Technology by Ruha BenjaminInvisible Women by Caroline Criado Pérez
Data Ethics & Society
14 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

The Hitchhiker's Guide to the Galaxy by Douglas AdamsThe Long Way to a Small, Angry Planet by Becky ChambersLove, Theoretically by Ali HazelwoodNobody's Baby But Mine by Susan Elizabeth PhillipsProject Hail Mary by Andy Weir
Women Physicists and Astronomers in Fiction
44 books — 10 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

JavaScript Succinctly by Cody LindleyUnit Testing Succinctly by Marc CliftonASP.NET Web API Succinctly by Emanuele DelBonoCryptography in .NET succinctly by Stephen HauntsC# Succinctly by Joe Mayo
Syncfusion's Succinctly Series
54 books — 6 voters
An Introduction to Statistical Learning by Gareth JamesAdvanced R by Hadley WickhamAdvanced R by Hadley WickhamThe Art of R Programming by Norman MatloffR Graphics Cookbook by Winston Chang
R language
46 books — 5 voters

IT Dictionary by Adam KorgaGrokking Algorithms An Illustrated Guide For Programmers and ... by Aditya Y. BhargavaDesigning Data-Intensive Applications by Martin KleppmannSoftware Engineering at Google by Titus WintersRefactoring by Martin Fowler
2024 - Engineering with Utsav - Books every software engineer should read
15 books — 5 voters
Think Bayes by Allen B. DowneyData Science at the Command Line by Jeroen JanssensGraph Databases by Ian RobinsonPractical Machine Learning by Ted DunningPractical Machine Learning by Ted Dunning
Humble Book Bundle: Data Science Presented by O'Reilly
16 books — 4 voters

Designing Data-Intensive Applications by Martin KleppmannDatabase Internals by Alex PetrovStreaming Systems by Tyler AkidauConcurrency by Dahlia MalkhiMaking Sense of Stream Processing by Martin Kleppmann
Data Engineering Group
23 books — 4 voters
The Empire of Chance by Gerd GigerenzerHow to Lie with Statistics by Darrell HuffData and Goliath by Bruce SchneierFor the Common Good by Alex John LondonThe Politics of Large Numbers by Alain Desrosières
Philosophy, Ethics, and History of Statistics and Data Science
53 books — 4 voters

Superintelligence by Nick BostromLeading Change by John P. KotterThe Data Garden And Other Data Allegories by Paul Daniel JonesSwitch by Chip HeathMeasure What Matters by John Doerr
Data Consulting
27 books — 3 voters
R for Data Science by Hadley WickhamHands-On Programming with R by Garrett GrolemundDesign for How People Think by John WhalenThe Art of R Programming by Norman MatloffData Analysis with Open Source Tools by Philipp K. Janert
O'Reilly & No Starch Press
67 books — 3 voters

Big Data Management and Processing by Kuan-Ching LiHigh Performance Computing for Big Data by Chao WangBig Data in Complex and Social Networks by My T. ThaiR Primer, Second Edition by Claus Thorn EkstromText Mining and Visualization by Markus Hofmann
Humble Book Bundle: Data Science Essentials by Taylor & Francis
23 books — 3 voters
Thinking, Fast and Slow by Daniel KahnemanThe Inevitable by Kevin KellyThe Master Algorithm by Pedro DomingosWeapons of Math Destruction by Cathy O'NeilThrowing Rocks at the Google Bus by Douglas Rushkoff
2017 Baker's Dozen
13 books — 2 voters

The CS Detective by Jeremy KubicaDoing Math with Python by Amit SahaPractical SQL by Anthony DeBarrosThe Book of R by Tilman M. DaviesMath Adventures with Python by Peter Farrell
Humble Book Bundle: Data Science by No Starch Press
15 books — 2 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

Search by Stefan WeitzTargeted by Brittany KaiserThe Art of Invisibility by Kevin D. MitnickThe Quants by Scott PattersonAI Superpowers by Kai-Fu Lee
Data (science) audiobooks
22 books — 1 voter
Recoding Gender by Janet AbbateEncoding Race, Encoding Class by Sareeta AmruteRace After Technology by Ruha BenjaminTerror, Insecurity and Liberty by Didier BigoDistributed Blackness by André Brock Jr.
Melonie Fullick's Data Reads
32 books — 1 voter

Linear Algebra and Its Applications by Gilbert StrangConvex Optimization by Stephen BoydIntroduction to Probability Models by Sheldon M. RossA First Course in Probability by Sheldon M. RossR in a Nutshell by Joseph Adler
Recommended Reading from Doing Data Science
14 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

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
Thinking, Fast and Slow by Daniel Kahneman by The 30 Minute Expert SeriesThe Signal and the Noise by The 30 Minute Expert SeriesSuperforecasting by Instaread SummariesSummary and Analysis of The Drunkard’s Walk by AcesprintThe Double and The Gambler by Fyodor Dostoevsky
The Data Analyst's Bookshelf: 10 Books to Master Probability, Risk, and Decision-Making
9 books — 1 voter

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