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Statistics Computation Books
Showing 1-50 of 114
Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control (Hardcover)
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avg rating 4.27 — 11 ratings — published 2003
An Introduction to Kolmogorov Complexity and Its Applications (Texts in Computer Science)
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avg rating 4.14 — 36 ratings — published 1993
The Nature of Statistical Learning Theory (Information Science and Statistics)
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avg rating 4.29 — 35 ratings — published 1998
High-Dimensional Probability: An Introduction with Applications in Data Science (Unknown Binding)
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avg rating 4.58 — 36 ratings — published
Probabilistic Graphical Models: Principles and Techniques (Kindle Edition)
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avg rating 4.18 — 258 ratings — published 2009
Information Theory, Inference, and Learning Algorithms (Paperback)
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avg rating 4.52 — 492 ratings — published 2002
Genetic Programming: On the Programming of Computers by Means of Natural Selection (Complex Adaptive Systems)
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avg rating 4.30 — 50 ratings — published 1992
Statistical Evidence: A Likelihood Paradigm (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
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avg rating 4.27 — 22 ratings — published 1997
Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
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avg rating 4.54 — 823 ratings — published
Dynamical Processes on Complex Networks (Hardcover)
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avg rating 4.42 — 19 ratings — published 2008
Probability & Measure Theory (Hardcover)
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avg rating 4.36 — 11 ratings — published 1999
Deep Learning with Python (Paperback)
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avg rating 4.57 — 1,412 ratings — published 2017
Elements of Information Theory (Hardcover)
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avg rating 4.20 — 328 ratings — published 1991
Probability Theory: The Logic of Science (Hardcover)
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avg rating 4.41 — 659 ratings — published
Genetic Algorithms in Search, Optimization and Machine Learning (Hardcover)
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avg rating 4.12 — 156 ratings — published 1989
Introduction to Stochastic Processes with R (Kindle Edition)
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avg rating 4.25 — 20 ratings — published
Swarm Intelligence (The Morgan Kaufmann Series in Evolutionary Computation)
by (shelved 1 time as statistics-computation)
avg rating 3.89 — 74 ratings — published 2001
Introduction to Probability (Hardcover)
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avg rating 4.51 — 174 ratings — published 2014
In All Likelihood: Statistical Modelling and Inference Using Likelihood (Hardcover)
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avg rating 4.29 — 28 ratings — published 2001
Solutions to Problems in A First Course in Stochastic Processes, 2nd edition (Paperback)
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avg rating 4.37 — 19 ratings — published 1975
Understanding The New Statistics (Multivariate Applications Series)
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avg rating 4.22 — 69 ratings — published 2011
Statistical Models Based on Counting Processes (Springer Series in Statistics)
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avg rating 4.75 — 4 ratings — published 1993
Statistical Decision Theory and Bayesian Analysis (Springer Series in Statistics)
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avg rating 4.19 — 36 ratings — published 1993
Ant Colony Optimization (Hardcover)
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avg rating 4.52 — 31 ratings — published 2004
Generalized Linear Models (Monographs on Statistics and Applied Probability)
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avg rating 4.04 — 27 ratings — published 1983
Statistical Inference (Hardcover)
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avg rating 4.17 — 396 ratings — published 2001
Computational Intelligence: An Introduction (Hardcover)
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avg rating 4.09 — 33 ratings — published 2003
Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Paperback)
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avg rating 3.94 — 462 ratings — published 2007
Self-Organizing Maps (Paperback)
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avg rating 4.36 — 22 ratings — published 1995
An Introduction to Mathematical Statistics and Its Applications (Hardcover)
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avg rating 3.84 — 64 ratings — published 1981
Multivariate Data Analysis (Hardcover)
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avg rating 4.10 — 179 ratings — published 1979
The Structure of Complex Networks: Theory and Applications (Hardcover)
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avg rating 4.22 — 9 ratings — published 2011
Evolutionary Optimization Algorithms (Hardcover)
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avg rating 4.50 — 8 ratings — published 2013
Foundations of Statistical Natural Language Processing (The MIT Press)
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avg rating 4.18 — 22 ratings — published 2012
Machine Learning: A Probabilistic Perspective (Hardcover)
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avg rating 4.34 — 521 ratings — published
Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach (Hardcover)
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avg rating 4.43 — 28 ratings — published 1998
Brownian Motion Calculus (Paperback)
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avg rating 4.56 — 16 ratings — published 2005
Unsupervised Learning: Foundations of Neural Computation (Computational Neuroscience)
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avg rating 4.00 — 18 ratings — published 1999
Asymptotic Statistics (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 3)
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avg rating 4.60 — 35 ratings — published 1998
Swarm Intelligence (ebook)
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avg rating 4.00 — 11 ratings — published 2008
Applied Predictive Modeling (Hardcover)
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avg rating 4.40 — 344 ratings — published 2013
Pattern Recognition and Machine Learning (Information Science and Statistics)
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avg rating 4.33 — 1,909 ratings — published
Bayesian Data Analysis (Hardcover)
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avg rating 4.21 — 540 ratings — published 1995
Deep Learning (ebook)
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avg rating 4.43 — 2,131 ratings — published 2016
Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis (Springer Series in Statistics)
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avg rating 4.45 — 31 ratings — published 2010
Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs, Series Number 5)
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avg rating 4.43 — 129 ratings — published 2016
Hands-On Machine Learning with Scikit-Learn and TensorFlow (ebook)
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avg rating 4.55 — 2,815 ratings — published 2017
Statistical Rethinking: A Bayesian Course with Examples in R and Stan (Chapman & Hall/CRC Texts in Statistical Science)
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avg rating 4.70 — 524 ratings — published 2015
The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Hardcover)
by (shelved 1 time as statistics-computation)
avg rating 4.43 — 1,890 ratings — published 2001
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
by (shelved 1 time as statistics-computation)
avg rating 4.59 — 2,338 ratings — published 2013
