In this new book, we cover many of the same topics as ESL, but we concentrate more on the applications of the methods and less on the mathematical details. We have created labs illustrating how to implement each of the statistical learning methods using the popular statistical software package R. These labs provide the reader with valuable hands-on experience.
This book is appropriate for advanced undergraduates or master’s students in statistics or related quantitative fields or for individuals in other disciplines who wish to use statistical learning tools to analyze their data. It ca be used as a textbook for a course spanning one or two semesters. (An Introduction to Statistical Learning: with Applications in R; Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani; Springer ; Preface: Pages vii, viii)