lincoln
lincoln

Textbooks

#2

Neural Networks and Deep Learning

2013 • 5 Readers • 224 pages 5

#3

The Feynman Lectures on Physics

2006 • 54 Readers • 1,552 pages 4.6

#7

An Introduction to Statistical Learning

2013 • 17 Readers • 426 pages 5

#10

Deep Learning

2016 • 18 Readers • 800 pages 4.8

#16

Introduction to Economic Analysis

2005 • 1 Reader • 328 pages

#17

Understanding Analysis

2000 • 5 Readers • 260 pages

#18

Introduction to Quantum Mechanics

1976 • 11 Readers • 391 pages 4

#19

The Principles of Quantum Mechanics

1958 • 1 Reader • 324 pages

#20

Quantum Computing Since Democritus

2013 • 21 Readers • 370 pages 3

#22

The Visual Display of Quantitative Information

1983 • 83 Readers • 197 pages 4.5

#23

A Pattern Language: Towns, Buildings, Construction

1977 • 118 Readers • 1,171 pages 4.7

#25

#26

Elements of Information Theory

1991 • 3 Readers • 784 pages 4

#27

Convex Optimization

2004 • 744 pages

#28

Sustainable Energy - Without the Hot Air

2009 • 6 Readers • 384 pages 4.3

#29

Macroeconomics

2006 • 3 Readers • 608 pages 3

#30

Principles of Economics

1997 • 12 Readers • 848 pages 5

#31

Hooktheory I: Music Theory

2012 • 1 Reader • 113 pages 5

#34

Bayesian Reasoning and Machine Learning

2011 • 1 Reader • 735 pages

#36

Concepts of modern mathematics

1975 • 4 Readers • 368 pages

#37

Fundamentals of Physics

1996 • 10 Readers • 1,280 pages 4.3

#38

A Book of Abstract Algebra

1982 • 5 Readers • 400 pages 4

#41

The machinery of life

1992 • 12 Readers • 167 pages 5

#42

Database Internals

2019 • 20 Readers • 373 pages 4

#44

#45

Structure and Interpretation of Computer Programs

1979 • 105 Readers • 574 pages 4.3

#46

Crafting Interpreters

2021 • 31 Readers • 865 pages 4

#47

Organic Chemistry

2000 • 3 Readers • 1,261 pages 5

#49

#50

Molecular Biology of the Cell

1983 • 4 Readers • 1,392 pages 5

#52

How to Prove It A Structured Approach

1994 • 11 Readers • 471 pages