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Listopia > Book Lists Liked by Lidik (12 Lists)



Introduction to Algorithms by Thomas H. CormenInformation Theory, Inference, and Learning Algorithms by David J.C. MacKayConceptual Mathematics by F. William LawvereAn Introduction To The Theory Of Numbers by G.H. HardyAn Invitation to Applied Category Theory by Brendan Fong
Mathematics and Foundations of Computer Science (University of Oxford)
172 books — 26 voters
The Picture of Dorian Gray by Oscar WildeHamlet by William ShakespeareJane Eyre by Charlotte BrontëPride and Prejudice by Jane AustenThe Great Gatsby by F. Scott Fitzgerald
Oxford World's Classics
257 books — 77 voters

Linear Algebra and Its Applications by Gilbert StrangDiv, Grad, Curl, and All That by Harry M. ScheySpacetime Physics by Edwin F. TaylorCalculus by Michael SpivakCalculus by Michael Spivak
Mathematics Part IA (University of Cambridge)
66 books — 3 voters
Middlemarch by George EliotWar and Peace by Leo TolstoyDon Quixote by Miguel de Cervantes SaavedraCrime and Punishment by Fyodor DostoevskyAnna Karenina by Leo Tolstoy
History Reading List For Prospective Students
51 books — 4 voters

Introduction to Electrodynamics by David J. GriffithsFeynman Lectures on Physics Vol 2 by Richard P. FeynmanConvex Optimization by Stephen BoydThe Feynman Lectures on Physics Vol 3 by Richard P. FeynmanVisual Complex Analysis by Tristan Needham
Mathematics Part IB (University of Cambridge)
92 books — 9 voters
Introduction to Electrodynamics by David J. GriffithsIntroduction to Electrodynamics by David J. GriffithsClassical Mechanics by Charles P. Poole Jr.Principles of Mathematical Analysis by Walter RudinClassical Electrodynamics by John David Jackson
How to prepare for Part III (University of Cambridge)
135 books — 10 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

History of the Ancient World by Gregory S. AldreteA Short History of Byzantium by John Julius NorwichSocieties, Networks, and Transitions by Craig A. LockardThe Mycenaean World by John ChadwickMinoans by J. Lesley Fitton
History of the Ancient World: A Global Perspective Suggested Reading
143 books — 13 voters
Differential Forms in Algebraic Topology by Raoul BottMathematical Methods of Classical Mechanics by Vladimir I. ArnoldIntroduction to Smooth Manifolds by John M. LeeCategories for the Working Mathematician by Saunders Mac LaneThe Arithmetic of Elliptic Curves by Joseph H. Silverman
Mathematics Part III (University of Cambridge)
270 books — 13 voters

The Master and Margarita by Mikhail BulgakovThe Island of Doctor Moreau by H.G. WellsThe Call of Cthulhu by H.P. LovecraftMetamorphosis by Franz KafkaMrs Dalloway by Virginia Woolf
Pocket Penguins
40 books — 19 voters
To Kill a Mockingbird by Harper LeePride and Prejudice by Jane Austen1984 by George OrwellThe Lord of the Rings by J.R.R. TolkienThe Great Gatsby by F. Scott Fitzgerald
1001 Books You Must Read Before You Die
1,324 books — 5,852 voters


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