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Books to read to master Computer Science
Score
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| 1 |
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All of Statistics: A Concise Course in Statistical Inference
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4.25 avg rating — 398 ratings
score: 200,
and
2 people voted
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| 2 |
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Convex Optimization
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4.48 avg rating — 348 ratings
score: 197,
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2 people voted
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| 3 |
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Deep Learning
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4.44 avg rating — 2,107 ratings
score: 195,
and
2 people voted
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| 4 |
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Reinforcement Learning: An Introduction
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4.54 avg rating — 811 ratings
score: 193,
and
2 people voted
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| 5 |
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Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics
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4.39 avg rating — 18 ratings
score: 100,
and
1 person voted
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| 6 |
|
Linear Algebra and Its Applications
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4.29 avg rating — 1,172 ratings
score: 99,
and
1 person voted
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| 6 |
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Pattern Recognition and Machine Learning
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4.32 avg rating — 1,895 ratings
score: 99,
and
1 person voted
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| 8 |
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Understanding Machine Learning
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4.21 avg rating — 131 ratings
score: 95,
and
1 person voted
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| 9 |
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Probabilistic Graphical Models: Principles and Techniques
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4.19 avg rating — 259 ratings
score: 94,
and
1 person voted
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| 10 |
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Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
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4.34 avg rating — 135 ratings
score: 93,
and
1 person voted
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| 11 |
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Analysis I
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4.55 avg rating — 183 ratings
score: 92,
and
1 person voted
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| 12 |
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Analysis II (Texts and Readings in Mathematics, No. 38)
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4.57 avg rating — 82 ratings
score: 91,
and
1 person voted
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| 13 |
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Introduction to the Theory of Computation
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4.24 avg rating — 2,103 ratings
score: 90,
and
1 person voted
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| 14 |
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Introduction to Algorithms: A Creative Approach
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4.34 avg rating — 142 ratings
score: 89,
and
1 person voted
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| 15 |
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Convex Optimization Theory
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4.33 avg rating — 12 ratings
score: 88,
and
1 person voted
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| 16 |
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Dynamic Programming and Optimal Control
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3.96 avg rating — 27 ratings
score: 87,
and
1 person voted
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| 17 |
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Linear Algebra Done Right
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4.39 avg rating — 1,256 ratings
score: 86,
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1 person voted
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