| #2 |  Neural Networks and Deep Learning
| 5 | 2 reads | |
| #3 |  The Feynman Lectures on Physics
| 4.63 | 11 reads | |
| #4 |  The Theoretical Minimum: What You Need to Know to Start Doing Physics
| 3.83 | 8 reads | |
| #5 |  Prospect theory
| 0 | 0 reads | |
| #6 |  Quantum Computation and Quantum Information
| 0 | 1 read | |
| #7 |  An Introduction to Statistical Learning
| 5 | 6 reads | |
| #8 |  The Elements of Statistical Learning: Data Mining, Inference, and Prediction
| 0 | 1 read | |
| #9 |  Getting Started with D3: Creating Data-Driven Documents
| 0 | 0 reads | |
| #10 |  Deep Learning
| 4.8 | 7 reads | |
| #11 |  Pattern Recognition and Machine Learning
| 0 | 1 read | |
| #12 |  Machine Learning: A Probabilistic Perspective
| 0 | 2 reads | |
| #13 |  Probabilistic Graphical Models: Principles and Techniques
| 0 | 0 reads | |
| #14 |  All of Statistics: A Concise Course in Statistical Inference
| 0 | 0 reads | |
| #15 |  Natural Language Processing With Python
| 0 | 0 reads | |
| #16 |  Introduction to Economic Analysis
| 0 | 0 reads | |
| #17 |  Understanding Analysis
| 0 | 1 read | |
| #18 |  Introduction to Quantum Mechanics
| 4 | 5 reads | |
| #19 |  The Principles of Quantum Mechanics
| 0 | 0 reads | |
| #20 |  Quantum Computing Since Democritus
| 3 | 4 reads | |
| #21 |  INFORMATION THEORY, INFERENCE, AND LEARNING ALGORITHMS.
| 0 | 1 read | |
| #22 |  The Visual Display of Quantitative Information
| 4.45 | 40 reads | |
| #23 |  A Pattern Language: Towns, Buildings, Construction
| 4.67 | 16 reads | |
| #24 |  Data and Democracy: How Political Data Science Is Shaping the 2016 Elections
| 0 | 0 reads | |
| #25 |  Statistical Inference
| 4 | 4 reads | |
| #26 |  Elements of Information Theory
| 4 | 1 read | |
| #27 |  Convex Optimization
| 0 | 0 reads | |
| #28 |  Sustainable Energy - Without the Hot Air
| 4.33 | 3 reads | |
| #29 |  Macroeconomics
| 3 | 2 reads | |
| #30 |  Principles of Economics
| 0 | 2 reads | |
| #31 |  Hooktheory I: Music Theory
| 5 | 1 read | |
| #32 |  100 Endgames You Must Know: Vital Lessons for Every Chess Player Improved and Expanded
| 4 | 2 reads | |
| #33 |  Gravity: An Introduction to Einstein's General Relativity
| 0 | 1 read | |
| #34 |  Bayesian Reasoning and Machine Learning
| 0 | 1 read | |
| #35 |  Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
| 4.65 | 58 reads | |
| #36 |  Concepts of modern mathematics
| 0 | 2 reads | |
| #37 |  Fundamentals of Physics
| 4.33 | 5 reads | |
| #38 |  A Book of Abstract Algebra
| 4 | 2 reads | |
| #39 |  A Computer Scientist's Guide to Cell Biology
| 0 | 0 reads | |
| #40 |  The eighth day of creation
| 0 | 0 reads | |
| #41 |  The machinery of life
| 5 | 1 read | |
| #42 |  Database Internals
| 4 | 3 reads | |
| #43 |  Operating Systems: Three Easy Pieces
| 5 | 1 read | |
| #44 |  Code: The Hidden Language of Computer Hardware and Software
| 4.28 | 62 reads | |
| #45 |  Structure and Interpretation of Computer Programs
| 4.26 | 26 reads | |
| #46 |  Crafting Interpreters
| 4 | 4 reads | |
| #47 |  Organic Chemistry
| 5 | 1 read | |
| #48 |  Div, Grad, Curl, and All That Div, Grad, Curl, and All That: An Informal Text on Vector Calculus
| 5 | 2 reads | |
| #49 |  Janeway's Immunobiology
| 0 | 0 reads | |
| #50 |  Molecular Biology of the Cell
| 5 | 1 read | |
| #51 |  Digital Design and Computer Architecture
| 0 | 0 reads | |
| #52 |  How to Prove It A Structured Approach
| 0 | 1 read |
