An Introduction to Statistical Learning: with Applications in R, Paperback

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.

• 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