An Introduction to Statistical Learning: with Applications in R - (James Gareth)

Daniela Witten, Trevor Hastie, Robert Tibshirani, Gareth James anglické Springer Verlag 2022 Springer-Verlag New York Inc. 607

"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.-