| 1 |
|
Abstract Algebra
by
4.20 avg rating — 717 ratings
|
|
| 2 |
|
Real and Complex Analysis (Higher Mathematics Series)
by
4.29 avg rating — 464 ratings
|
|
| 3 |
|
Principles of Mathematical Analysis
by
4.27 avg rating — 1,898 ratings
|
|
| 4 |
|
A Book of Abstract Algebra
by
4.37 avg rating — 565 ratings
|
|
| 5 |
|
Linear Algebra Done Right
by
4.39 avg rating — 1,275 ratings
|
|
| 6 |
|
The Mathematical Theory of Communication
by
4.38 avg rating — 690 ratings
|
|
| 7 |
|
Numerical Recipes: The Art of Scientific Computing
by
4.32 avg rating — 157 ratings
|
|
| 8 |
|
Matrix Computations (Johns Hopkins Studies in the Mathematical Sciences, 3)
by
4.26 avg rating — 151 ratings
|
|
| 9 |
|
Elements of Information Theory 2nd Edition (Wiley Series in Telecommunications and Signal Processing)
by
4.21 avg rating — 327 ratings
|
|
| 10 |
|
Introduction to Algorithms
by
4.35 avg rating — 9,319 ratings
Jane
rated it 5 stars
See Review
|
|
| 11 |
|
Convex Optimization
by
4.48 avg rating — 354 ratings
|
|
| 12 |
|
An Introduction to Probability Theory and Its Applications, Volume 1
by
4.31 avg rating — 162 ratings
|
|
| 13 |
|
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
by
4.43 avg rating — 1,885 ratings
|
|
| 14 |
|
Pattern Recognition and Machine Learning
by
4.32 avg rating — 1,900 ratings
|
|
| 15 |
|
The Fractal Geometry of Nature
by
4.23 avg rating — 1,287 ratings
|
|
| 16 |
|
Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning series)
by
4.54 avg rating — 818 ratings
Jane
rated it 5 stars
See Review
|
|
| 17 |
|
Artificial Intelligence: A Modern Approach (Pearson Series in Artifical Intelligence)
by
4.20 avg rating — 4,447 ratings
|
|
| 18 |
|
BISHOP:NEURAL NETWORKS FOR PATTERN RECOGNITION PAPER (Advanced Texts in Econometrics (Paperback))
by
4.11 avg rating — 171 ratings
|
|
| 19 |
|
Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
by
4.32 avg rating — 138 ratings
|
|
| 20 |
|
Bayesian Data Analysis
by
4.21 avg rating — 539 ratings
|
|
| 21 |
|
Deep Learning
by
4.44 avg rating — 2,117 ratings
|
|
| 22 |
|
Introduction to Automata Theory, Languages, and Computation
by
4.06 avg rating — 669 ratings
|
|
| 23 |
|
The Art of Computer Programming, Volume 2: Seminumerical Algorithms
by
4.43 avg rating — 525 ratings
|
|
| 24 |
|
Compilers: Principles, Techniques, and Tools
by
4.10 avg rating — 3,024 ratings
|
|
| 25 |
|
Networks
by
4.24 avg rating — 207 ratings
|
|
| 26 |
|
Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering
by
4.38 avg rating — 1,531 ratings
|
|
| 27 |
|
An Introduction To The Theory Of Numbers
by
4.33 avg rating — 209 ratings
|
|
| 28 |
|
Statistical Inference
by
4.17 avg rating — 396 ratings
|
|
| 29 |
|
Euclid's Elements
by
4.32 avg rating — 3,364 ratings
|
|
| 30 |
|
Information Theory, Inference, and Learning Algorithms
by
4.52 avg rating — 488 ratings
Jane
rated it 5 stars
See Review
|
|
| 31 |
|
Probabilistic Robotics (Intelligent Robotics and Autonomous Agents series)
by
4.61 avg rating — 218 ratings
|
|
| 32 |
|
The C++ Programming Language
by
4.10 avg rating — 4,025 ratings
|
|
| 33 |
|
Computer Graphics: Principles and Practice
by
4.22 avg rating — 368 ratings
|
|
| 34 |
|
Computational Geometry: Algorithms and Applications
by
4.17 avg rating — 169 ratings
|
|
| 35 |
|
The Art of Statistics: Learning from Data
by
4.15 avg rating — 5,653 ratings
|
|
| 36 |
|
An Introduction to Statistical Learning: with Applications in R
by
4.59 avg rating — 2,335 ratings
Jane
rated it 4 stars
See Review
|
|
| 37 |
|
Algebraic Topology
by
4.13 avg rating — 357 ratings
|
|
| 38 |
|
Introduction to Machine Learning
by
3.78 avg rating — 251 ratings
|
|
| 39 |
|
Machine Learning: A Probabilistic Perspective
by
4.34 avg rating — 520 ratings
|
|
| 40 |
|
Thinking In Systems: A Primer
by
4.19 avg rating — 22,231 ratings
|
|
| 41 |
|
Complexity: A Guided Tour
by
4.11 avg rating — 3,518 ratings
|
|