Springer
An Introduction to Statistical Learning: with Applications in R, Paperback/Gareth James
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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. Book specifications: Dimensions: 234 x 156 Author: Gareth James Cover type: Paperback Publishing Year: 2022 Publishing Month: 8 Pages: 624 Language: English Publisher: Springer Weight: 862 g
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