Lore of Running by Tim Noakes
Best books for training runners
68 books — 67 voters
Algebra by Serge LangNumbers by Heinz-Dieter EbbinghausAn Introduction to Manifolds by Loring W. TuCategories for the Working Mathematician by Saunders Mac LaneDifferential Forms in Algebraic Topology by Raoul Bott
Best of Springer Mathematics
500 books — 35 voters

Calculus by Michael SpivakAlgebra by Paolo AluffiVisual Complex Analysis by Tristan NeedhamA Book of Abstract Algebra by Charles C. PinterPrinciples of Mathematical Analysis by Walter Rudin
Undergraduate Mathematics
571 books — 36 voters

Advanced Linear Algebra by Steven RomanMatrix Methods in Analysis by Piotr AntosikNonnegative Matrices and Applications by R.B. BapatMatrices by Stephen M. BarnettIntroduction to Matrix Analysis by Richard E. Bellman
Advanced Linear Algebra
134 books — 10 voters

The Thing Around Your Neck by Chimamanda Ngozi AdichieThe Invention of Wings by Sue Monk KiddWild Magic by Tamora PierceLioness Rampant by Tamora PierceStone Butch Blues by Leslie Feinberg
Best Feminist Fiction
1,504 books — 2,674 voters

Bad Blood by John CarreyrouWorm by WildbowThe Wages of Destruction by Adam ToozeUnsong by Scott   AlexanderSelected Non-Fictions by Jorge Luis Borges
4+ Stars on Gwern.net
95 books — 7 voters
Mathematics by A.D. AleksandrovA Book of Abstract Algebra by Charles C. PinterCategory Theory in Context by Emily RiehlSet Theory and the Continuum Hypothesis by Paul CohenUndecidable Theories by Alfred Tarski
Dover Mathematics
891 books — 38 voters

Algorithmic Game Theory by Noam NisanReinforcement Learning and Optimal Control by Dimitri P. BertsekasTheoretical Neuroscience by Peter DayanLearning Theory by Felipe CuckerThe Handbook of Computational Linguistics and Natural Languag... by Alexander Clark
Machine Learning Year 4 (MCSL)
13 books — 8 voters
Algebraic Geometry and Statistical Learning Theory by Sumio WatanabeFoundations of Data Science by Avrim BlumStochastic Differential Equations by Bernt ØksendalProbability on Trees and Networks by Russell LyonsAlgebraic Statistics by Seth Sullivant
Statistical Science Year 4 (MCSL)
20 books — 9 voters

The C Programming Language by Brian W. KernighanComputational Complexity by Sanjeev AroraTypes and Programming Languages by Benjamin C. PierceQuantum Computation and Quantum Information by Michael A. NielsenQuantum Information Theory by Mark Wilde
Computer Science Year 4 (MCSL)
25 books — 10 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

The Elements of Statistical Learning by Trevor HastieProbability Theory by Achim KlenkeProbability with Martingales by David      WilliamsProbability and Measure by Patrick BillingsleyFoundations of Modern Probability by Olav Kallenberg
Statistical Science Year 3 (MCSL)
41 books — 10 voters
Structure and Interpretation of Computer Programs by Harold AbelsonElements of Information Theory 2nd Edition by Thomas M. CoverConvex Optimization by Stephen BoydLearn You a Haskell for Great Good! by Miran LipovačaFunctional Programming in Scala by Rúnar Bjarnason
Computer Science Year 3 (MCSL)
56 books — 9 voters

Introduction to Machine Learning by Ethem AlpaydinMachine Learning by Kevin P. MurphyUnderstanding Machine Learning by Shai Shalev-ShwartzDeep Learning by Ian GoodfellowArtificial Intelligence by Stuart Russell
Machine Learning Year 2 (MCSL)
5 books — 8 voters
An Introduction to Statistical Learning by Gareth JamesBayesian Data Analysis by Professor in the Department...Probability Theory by E.T. JaynesOne Thousand Exercises in Probability by Geoffrey R. GrimmettProbability and Random Processes by Geoffrey R. Grimmett
Statistical Science Year 2 (MCSL)
13 books — 9 voters

Designing Data-Intensive Applications by Martin KleppmannThe Algorithm Design Manual by Steven S. SkienaAlgorithms by Robert SedgewickIntroduction to Algorithms by Thomas H. CormenIntroduction to Numerical Analysis by Josef Stoer
Computer Science Year 2 (MCSL)
19 books — 10 voters
Human Compatible by Stuart RussellMathematics for Machine Learning by Marc Peter DeisenrothThe Hundred-Page Machine Learning Book by Andriy BurkovHands-On Machine Learning with Scikit-Learn, Keras, and Tenso... by Aurélien GéronSuperintelligence by Nick Bostrom
Machine Learning Year 1 (MCSL)
7 books — 11 voters

The Art of Statistics by David SpiegelhalterFirst Course in Probability, A by Sheldon M. RossElementary Probability by David StirzakerIntroduction to Probability by Joseph K. BlitzsteinProbability by Geoffrey R. Grimmett
Statistical Science Year 1 (MCSL)
12 books — 11 voters
Introduction to Computation and Programming Using Python by John V. GuttagNumerical Methods in Physics with Python by Alex GezerlisIntroduction to Applied Linear Algebra by Stephen BoydComputational Mathematics with SageMath by Paul ZimmermannThe Science of Computing by Matti Tedre
Computer Science Year 1 (MCSL)
10 books — 11 voters


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