| 1 |
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Introduction to Algorithms
by
4.35 avg rating — 9,305 ratings
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| 2 |
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Structure and Interpretation of Computer Programs
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4.47 avg rating — 4,850 ratings
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| 3 |
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Introduction to the Theory of Computation
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4.24 avg rating — 2,104 ratings
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| 4 |
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Artificial Intelligence: A Modern Approach (Pearson Series in Artifical Intelligence)
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4.20 avg rating — 4,445 ratings
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| 5 |
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Concrete Mathematics: A Foundation for Computer Science
by
4.34 avg rating — 1,864 ratings
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| 6 |
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Types and Programming Languages
by
4.27 avg rating — 591 ratings
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| 7 |
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Pattern Recognition and Machine Learning
by
4.32 avg rating — 1,897 ratings
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| 8 |
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The Nature of Computation
by
4.59 avg rating — 111 ratings
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| 9 |
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Quantum Computing Since Democritus
by
4.15 avg rating — 1,065 ratings
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| 10 |
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An Introduction to Functional Programming Through Lambda Calculus
by
4.13 avg rating — 225 ratings
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| 11 |
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The Hundred-Page Machine Learning Book
by
4.25 avg rating — 1,421 ratings
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| 12 |
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Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis
by
4.23 avg rating — 92 ratings
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| 13 |
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Introduction to Automata Theory, Languages, and Computation
by
4.06 avg rating — 668 ratings
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| 14 |
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Reinforcement Learning: An Introduction
by
4.54 avg rating — 817 ratings
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| 15 |
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Machine Learning: A Probabilistic Perspective
by
4.34 avg rating — 520 ratings
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| 16 |
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Quantum Computation and Quantum Information: 10th Anniversary Edition
by
4.40 avg rating — 539 ratings
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| 17 |
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Information Theory, Inference, and Learning Algorithms
by
4.52 avg rating — 487 ratings
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| 18 |
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Convex Optimization
by
4.48 avg rating — 349 ratings
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| 19 |
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Computational Geometry: Algorithms and Applications
by
4.17 avg rating — 169 ratings
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| 20 |
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Computability and Logic
by
4.13 avg rating — 167 ratings
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| 21 |
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Basic Category Theory for Computer Scientists
by
3.58 avg rating — 139 ratings
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| 22 |
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Matrix Computations (Johns Hopkins Studies in the Mathematical Sciences, 3)
by
4.26 avg rating — 151 ratings
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| 23 |
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Coding the Matrix: Linear Algebra through Computer Science Applications
by
4.15 avg rating — 137 ratings
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| 24 |
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Computational Complexity: A Modern Approach
by
4.32 avg rating — 137 ratings
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| 25 |
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Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
by
4.33 avg rating — 137 ratings
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| 26 |
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Numerical Linear Algebra
by
4.28 avg rating — 152 ratings
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| 27 |
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Gaussian Processes for Machine Learning
by
4.17 avg rating — 109 ratings
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| 28 |
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Mathematics for Computer Science
by
3.85 avg rating — 95 ratings
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| 29 |
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Foundations of Machine Learning
by
4.21 avg rating — 94 ratings
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| 30 |
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Logic in Computer Science: Modelling and Reasoning About Systems
by
3.96 avg rating — 74 ratings
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| 31 |
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Algorithmic Game Theory
by
4.20 avg rating — 79 ratings
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| 32 |
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Approximation Algorithms
by
4.20 avg rating — 56 ratings
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| 33 |
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Mathematics for Machine Learning
by
4.33 avg rating — 243 ratings
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| 34 |
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Practical Foundations for Programming Languages
by
3.87 avg rating — 62 ratings
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| 35 |
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Automata and Computability
by
4.21 avg rating — 47 ratings
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| 36 |
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An Invitation to Applied Category Theory: Seven Sketches in Compositionality
by
4.42 avg rating — 57 ratings
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| 37 |
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Certified Programming with Dependent Types: A Pragmatic Introduction to the Coq Proof Assistant
by
4.28 avg rating — 29 ratings
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| 38 |
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Analytic Combinatorics
by
4.42 avg rating — 33 ratings
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| 39 |
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The Lambda Calculus, Its Syntax and Semantics (Studies in Logic and the Foundations of Mathematics, Volume 103). Revised Edition
by
4.14 avg rating — 35 ratings
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| 40 |
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Kernel Methods for Pattern Analysis
by
really liked it 4.00 avg rating — 29 ratings
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| 41 |
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Interactive Theorem Proving and Program Development: Coq’Art: The Calculus of Inductive Constructions (Texts in Theoretical Computer Science. An EATCS Series)
by
4.11 avg rating — 28 ratings
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| 42 |
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Dynamic Programming And Optimal Control, Vol. 1
by
4.36 avg rating — 33 ratings
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| 43 |
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Decision Making Under Uncertainty: Theory and Application (MIT Lincoln Laboratory Series)
by
4.39 avg rating — 28 ratings
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| 44 |
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Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares
by
4.20 avg rating — 49 ratings
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rated it 4 stars
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| 45 |
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Lambda-Calculus and Combinators: An Introduction
by
3.83 avg rating — 23 ratings
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| 46 |
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Dynamic Programming (Dover Books on Computer Science)
by
4.26 avg rating — 31 ratings
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| 47 |
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A First Course in the Numerical Analysis of Differential Equations (Cambridge Texts in Applied Mathematics, Series Number 15)
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really liked it 4.00 avg rating — 24 ratings
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| 48 |
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Mathematical Logic for Computer Science
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3.76 avg rating — 21 ratings
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| 49 |
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Linear Algebra and Learning from Data
by
4.39 avg rating — 44 ratings
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| 50 |
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Dynamic Programming and Optimal Control
by
3.96 avg rating — 27 ratings
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| 51 |
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Dynamic Programming and Optimal Control, Vol. 2
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4.19 avg rating — 21 ratings
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| 52 |
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Computability: Turing, Gödel, Church, and Beyond
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really liked it 4.00 avg rating — 21 ratings
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| 53 |
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Extremal Combinatorics: With Applications in Computer Science (Texts in Theoretical Computer Science. An EATCS Series)
by
4.53 avg rating — 17 ratings
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| 54 |
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Matrix Algebra: Theory, Computations, and Applications in Statistics
by
really liked it 4.00 avg rating — 15 ratings
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| 55 |
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Foundations of Data Science
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4.24 avg rating — 25 ratings
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| 56 |
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Computational Geometry: An Introduction (Monographs in Computer Science)
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4.10 avg rating — 21 ratings
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