An Introduction to Statistical Learning With Applications in R |
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Author:
| James, Gareth Hastie, Trevor Tibshirani, Robert Witten, Daniela |
Series title: | Springer Texts in Statistics Ser. |
ISBN: | 978-1-4614-7137-0 |
Publication Date: | Jun 2017 |
Publisher: | Springer
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Book Format: | Hardback |
List Price: | AUD $123.95 |
Book Description:
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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.