Book

An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)

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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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Availability

Detail Information

Series Title

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Call Number

519.5-006.312

Publisher

Islamabad : Al Hafiz Traders., 2023

Collation

607

Language

English

ISBN/ISSN

978-3031387463

Classification

519.5-006.312

Content Type

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Media Type

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Carrier Type

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Edition

3rd

Subject(s)

Computer Science Data Science
1. Computer Science 2. Software Engineering 3. Dat
Data Science Information Technology

Specific Detail Info

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Statement of Responsibility

Gareth James , Daniela Witten , Trevor Hastie

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