Optimization for Data Analysis

Language: English

Published by Cambridge University Press, GB, 2022

1316518981 / 9781316518984

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Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic optimization techniques and their fundamental properties provides important grounding for students, researchers, and practitioners in these areas. This text covers the fundamentals of optimization algorithms in a compact, self-contained way, focusing on the techniques most relevant to data science. An introductory chapter demonstrates that many standard problems in data science can be formulated as optimization problems. Next, many fundamental methods in optimization are described and analyzed, including: gradient and accelerated gradient methods for unconstrained optimization of smooth (especially convex) functions; the stochastic gradient method, a workhorse algorithm in machine learning; the coordinate descent approach; several key algorithms for constrained optimization problems; algorithms for minimizing nonsmooth functions arising in data science; foundations of the analysis of nonsmooth functions and optimization duality; and the back-propagation approach, relevant to neural networks. …

Seller Inventory # LU-9781316518984

Title
Optimization for Data Analysis
Author
Stephen J. Wright, Benjamin Recht
Publisher
Cambridge University Press, GB
Publication year
2022
Condition
New
Binding
Hardback
Language
English
ISBN 10
1316518981
ISBN 13
9781316518984
Item weight
450 grams

Rarewaves USA United

HEBRON, KY, U.S.A.

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AbeBooks seller since June 20, 2025

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