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An Introduction to Statistical Learning: With Applications in Python

An Introduction to Statistical Learning: With Applications in Python

Hardcover

Series: Springer Texts in Statistics

ApplicationsProbability & Statistics

ISBN10: 3031387465
ISBN13: 9783031387463
Publisher: Springer Nature
Published: Jul 1 2023
Pages: 60
Weight: 3.15
Height: 1.65 Width: 7.17 Depth: 10.08
Language: English

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data.

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James, Gareth

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Probability & Statistics