Big Books of Spring
An Introduction to Manifolds by Loring W. TuDifferential Forms in Algebraic Topology by Raoul BottAlgebra by Serge LangSheaves in Geometry and Logic by Saunders MacLaneNumbers by Heinz-Dieter Ebbinghaus
Best of Springer Mathematics
13th out of 500 books — 35 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
13th out of 120 books — 13 voters

Numerical Optimization by Jorge NocedalNetwork Science by Albert-László BarabásiDynamic Programming by Richard E. BellmanNetworks by M.E.J. NewmanDynamic Programming and Markov Processes by Ronald A. Howard
Operational Research (MMath)
1st out of 7 books — 7 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)
20th out of 56 books — 9 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
111th out of 143 books — 30 voters
Numerical Recipes by William H. PressMatrix Computations by Gene H. GolubNumerical Linear Algebra by Lloyd N. TrefethenComputational Geometry by Mark de BergNumerical Analysis by Richard L. Burden
Numerical Methods (MMath)
6th out of 52 books — 6 voters

Computational Complexity by Sanjeev AroraQuantum Computation and Quantum Information by Michael A. NielsenIntroduction to the Theory of Computation by Michael SipserThe Nature of Computation by Cristopher MooreIntroduction to Algorithms by Thomas H. Cormen
Theoretical Computer Science (MMath)
25th out of 57 books — 6 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
290th out of 571 books — 37 voters

Numerical Recipes by William H. PressNumerical Recipes in C by William H. PressNumerical Recipes by William T. VetterlingNumerical Recipes in FORTRAN 77 by William H. PressNumerical Recipes in FORTRAN 90 by William H. Press
Numerical Methods
19th out of 67 books — 1 voter
All of Statistics by Larry WassermanConvex Optimization by Stephen BoydDeep Learning by Ian GoodfellowReinforcement Learning by Richard S. SuttonNumerical Algorithms by Justin Solomon
Computer-Math
10th out of 17 books — 3 voters

Numerical Methods in Matrix Computations by Åke BjörckLAPACK Users' Guide by E. AndersonTemplates for the Solution of Algebraic Eigenvalue Problems by Zhaojun BaiTemplates for the Solution of Linear Systems by Richard BarrettDirect Methods for Sparse Linear Systems by Timothy A. Davis
Scientific Computing for DPhil students (University of Oxford)
10th out of 16 books — 2 voters
Unit Operations of Chemical Engineering by Warren McCabeCoulson & Richardson's Chemical Engineering by J.M. CoulsonCoulson & Richardson's Chemical Engineering by Ray K. SinnottChemical Engineering by J.R. BackhurstShreve's Chemical Process Industries by George T. Austin
Wanna be a Chemical Engineer?
37th out of 66 books — 25 voters


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