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MCSL reading lists by Henry
(Mathematics · Computer Science · Statistical Science · Machine Learning)
Mathematics Year 1 (MCSL)
https://www.goodreads.com/list/show/1...
Computer Science Year 1 (MCSL)
https://www.goodreads.com/list/show/1...
Statistical Science Year 1 (MCSL)
https://www.goodreads.com/list/show/1...
Machine Learning Year 1 (MCSL)
https://www.goodreads.com/list/show/1...
Mathematics Year 2 (MCSL)
https://www.goodreads.com/list/show/1...
Computer Science Year 2 (MCSL)
https://www.goodreads.com/list/show/1...
Statistical Science Year 2 (MCSL)
https://www.goodreads.com/list/show/1...
Machine Learning Year 2 (MCSL)
https://www.goodreads.com/list/show/1...
Mathematics Year 3 (MCSL)
https://www.goodreads.com/list/show/1...
Computer Science Year 3 (MCSL)
https://www.goodreads.com/list/show/1...
Statistical Science Year 3 (MCSL)
https://www.goodreads.com/list/show/1...
Machine Learning Year 3 (MCSL)
https://www.goodreads.com/list/show/1...
Mathematics Year 4 (MCSL)
https://www.goodreads.com/list/show/1...
Computer Science Year 4 (MCSL)
https://www.goodreads.com/list/show/1...
Statistical Science Year 4 (MCSL)
https://www.goodreads.com/list/show/1...
Machine Learning Year 4 (MCSL)
https://www.goodreads.com/list/show/1...
(Mathematics · Computer Science · Statistical Science · Machine Learning)
Mathematics Year 1 (MCSL)
https://www.goodreads.com/list/show/1...
Computer Science Year 1 (MCSL)
https://www.goodreads.com/list/show/1...
Statistical Science Year 1 (MCSL)
https://www.goodreads.com/list/show/1...
Machine Learning Year 1 (MCSL)
https://www.goodreads.com/list/show/1...
Mathematics Year 2 (MCSL)
https://www.goodreads.com/list/show/1...
Computer Science Year 2 (MCSL)
https://www.goodreads.com/list/show/1...
Statistical Science Year 2 (MCSL)
https://www.goodreads.com/list/show/1...
Machine Learning Year 2 (MCSL)
https://www.goodreads.com/list/show/1...
Mathematics Year 3 (MCSL)
https://www.goodreads.com/list/show/1...
Computer Science Year 3 (MCSL)
https://www.goodreads.com/list/show/1...
Statistical Science Year 3 (MCSL)
https://www.goodreads.com/list/show/1...
Machine Learning Year 3 (MCSL)
https://www.goodreads.com/list/show/1...
Mathematics Year 4 (MCSL)
https://www.goodreads.com/list/show/1...
Computer Science Year 4 (MCSL)
https://www.goodreads.com/list/show/1...
Statistical Science Year 4 (MCSL)
https://www.goodreads.com/list/show/1...
Machine Learning Year 4 (MCSL)
https://www.goodreads.com/list/show/1...
Score
A book’s total score is based on multiple factors, including the number of people who have voted for it and how highly those voters ranked the book.
| 1 |
|
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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4.43 avg rating — 1,881 ratings
score: 885,
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9 people voted
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| 2 |
|
Probability and Measure (Wiley Series in Probability and Statistics Book 938)
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4.21 avg rating — 66 ratings
score: 651,
and
7 people voted
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| 3 |
|
Foundations of Modern Probability
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4.14 avg rating — 37 ratings
score: 593,
and
7 people voted
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| 4 |
|
An Introduction to Probability Theory and Its Applications, Volume 1
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4.31 avg rating — 162 ratings
score: 588,
and
6 people voted
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| 5 |
|
Statistical Inference
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4.17 avg rating — 393 ratings
score: 568,
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6 people voted
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| 6 |
|
Probability Theory: A Comprehensive Course
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4.67 avg rating — 15 ratings
score: 554,
and
6 people voted
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| 7 |
|
Probability with Martingales (Cambridge Mathematical Textbooks)
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4.21 avg rating — 70 ratings
score: 553,
and
6 people voted
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| 8 |
|
An Introduction to Probability Theory and Its Applications, Volume 2
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4.11 avg rating — 35 ratings
score: 552,
and
6 people voted
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| 9 |
|
Information Theory and Statistics (Dover Books on Mathematics)
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4.05 avg rating — 20 ratings
score: 523,
and
6 people voted
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| 10 |
|
Probability: Theory and Examples (Cambridge Series in Statistical and Probabilistic Mathematics Book 49)
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3.87 avg rating — 45 ratings
score: 521,
and
6 people voted
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| 11 |
|
High-Dimensional Probability: An Introduction with Applications in Data Science
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4.67 avg rating — 33 ratings
score: 511,
and
6 people voted
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| 12 |
|
An Introduction to Stochastic Differential Equations
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4.27 avg rating — 15 ratings
score: 493,
and
6 people voted
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| 13 |
|
Principles of Statistical Inference
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really liked it 4.00 avg rating — 13 ratings
score: 471,
and
6 people voted
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| 14 |
|
Data Science for Mathematicians
by
Nathan Carter (Editor)
really liked it 4.00 avg rating — 1 rating
score: 444,
and
6 people voted
|
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| 15 |
|
High-Dimensional Statistics: A Non-Asymptotic Viewpoint (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 48)
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4.67 avg rating — 24 ratings
score: 441,
and
6 people voted
|
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| 16 |
|
The Nature of Statistical Learning Theory
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4.26 avg rating — 34 ratings
score: 436,
and
5 people voted
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| 16 |
|
An Introduction to the Bootstrap (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
by
4.32 avg rating — 66 ratings
score: 436,
and
5 people voted
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| 18 |
|
In All Likelihood: Statistical Modelling and Inference Using Likelihood
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4.29 avg rating — 28 ratings
score: 435,
and
5 people voted
|
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| 19 |
|
Statistical Decision Theory and Bayesian Analysis (Springer Series in Statistics)
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4.19 avg rating — 36 ratings
score: 434,
and
5 people voted
|
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| 20 |
|
The Minimum Description Length Principle
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4.08 avg rating — 12 ratings
score: 426,
and
5 people voted
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| 21 |
|
Networks
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4.24 avg rating — 208 ratings
score: 425,
and
5 people voted
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| 22 |
|
Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction (Institute of Mathematical Statistics Monographs, Series Number 1)
by
4.14 avg rating — 22 ratings
score: 421,
and
5 people voted
|
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| 23 |
|
Nonlinear Time Series Analysis
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4.39 avg rating — 23 ratings
score: 409,
and
5 people voted
|
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| 24 |
|
Principles of Applied Statistics
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3.67 avg rating — 18 ratings
score: 397,
and
5 people voted
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| 24 |
|
Principal Component Analysis (Springer Series in Statistics)
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4.27 avg rating — 15 ratings
score: 397,
and
5 people voted
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| 26 |
|
Markov Chains and Mixing Times
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4.25 avg rating — 20 ratings
score: 395,
and
5 people voted
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| 27 |
|
Essentials of Statistical Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 16)
by
4.08 avg rating — 12 ratings
score: 375,
and
5 people voted
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| 28 |
|
Computational Statistics
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3.61 avg rating — 18 ratings
score: 373,
and
5 people voted
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| 29 |
|
Theory of Probability: A Critical Introductory Treatment (Wiley Series in Probability and Statistics): 6
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4.60 avg rating — 5 ratings
score: 370,
and
5 people voted
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| 30 |
|
Statistical Design
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4.67 avg rating — 6 ratings
score: 369,
and
5 people voted
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| 31 |
|
Statistical Inference
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4.50 avg rating — 2 ratings
score: 360,
and
5 people voted
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| 32 |
|
Spectra of Graphs
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4.20 avg rating — 5 ratings
score: 359,
and
5 people voted
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| 32 |
|
Random Graphs (Cambridge Studies in Advanced Mathematics, Series Number 73)
by
3.78 avg rating — 9 ratings
score: 359,
and
5 people voted
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| 34 |
|
Time Series: Theory and Methods: Time Series: Theory and Methods (Springer Series in Statistics)
by
really liked it 4.00 avg rating — 10 ratings
score: 358,
and
5 people voted
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| 34 |
|
Chaos and Time-Series Analysis
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4.44 avg rating — 16 ratings
score: 358,
and
5 people voted
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| 36 |
|
Markov Chains: Gibbs Fields, Monte Carlo Simulation and Queues
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3.90 avg rating — 10 ratings
score: 357,
and
5 people voted
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| 37 |
|
Computational Statistics
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really liked it 4.00 avg rating — 3 ratings
score: 353,
and
5 people voted
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| 38 |
|
Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44)
by
4.33 avg rating — 3 ratings
score: 352,
and
5 people voted
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| 39 |
|
Algorithms and Models for Network Data and Link Analysis
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3.50 avg rating — 2 ratings
score: 345,
and
5 people voted
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| 40 |
|
First Steps in Random Walks: From Tools to Applications
by
really liked it 4.00 avg rating — 2 ratings
score: 330,
and
5 people voted
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| 41 |
|
Information Criteria and Statistical Modeling (Springer Series in Statistics)
by
really liked it 4.00 avg rating — 2 ratings
score: 302,
and
4 people voted
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