An Introduction to Statistical Learning With Applications in R |
|
| Author:
| James, Gareth
Hastie, Trevor
Tibshirani, Robert
Witten, Daniela |
| Series title: | Springer Texts in Statistics Ser. |
| ISBN: | 978-1-4614-7137-0 |
| Publication Date: | Sep 2017 |
| Publisher: | Springer New York
|
| Imprint: | Springer |
| Book Format: | Hardback |
| List Price: | USD $79.99 |
Book Description:
|
This book presents key modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, and clustering.
This book presents key modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, and clustering.