Sold out but wanted!
Parameters
- 426 pages
- 15 hours of reading
More about the book
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.
Book purchase
An introduction to statistical learning, Robert Tibshirani, Trevor Hastie, Daniela Witten, Gareth James
- Language
- Released
- 2013
- product-detail.submit-box.info.binding
- (Hardcover)
We’ll email you as soon as we track it down.
Payment methods
We’re missing your review here.
- Language
- English
- Publisher
- Springer New York
- Released
- 2013
- Format
- Hardcover
- Pages
- 426
- ISBN10
- 1461471370
- ISBN13
- 9781461471370
- Series
- Tags
- Non-Fiction, Textbooks, Technology & Engineering, Computers & Internet, Science, Technology, Math Textbooks
- Rating
- 4.6 out of 5
- 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.