Description

Book Synopsis


Table of Contents
Preface.- 1 Introduction.- 2 Statistical Learning.- 3 Linear Regression.- 4 Classification.- 5 Resampling Methods.- 6 Linear Model Selection and Regularization.- 7 Moving Beyond Linearity.- 8 Tree-Based Methods.- 9 Support Vector Machines.- 10 Deep Learning.- 11 Survival Analysis and Censored Data.- 12 Unsupervised Learning.- 13 Multiple Testing.- Index.

An Introduction to Statistical Learning

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A Paperback / softback by Gareth James, Daniela Witten, Trevor Hastie

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    View other formats and editions of An Introduction to Statistical Learning by Gareth James

    Publisher: Springer-Verlag New York Inc.
    Publication Date: 30/07/2022
    ISBN13: 9781071614204, 978-1071614204
    ISBN10: 1071614207

    Description

    Book Synopsis


    Table of Contents
    Preface.- 1 Introduction.- 2 Statistical Learning.- 3 Linear Regression.- 4 Classification.- 5 Resampling Methods.- 6 Linear Model Selection and Regularization.- 7 Moving Beyond Linearity.- 8 Tree-Based Methods.- 9 Support Vector Machines.- 10 Deep Learning.- 11 Survival Analysis and Censored Data.- 12 Unsupervised Learning.- 13 Multiple Testing.- Index.

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