An introduction to statistical learning : with applications in R / Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani [electronic resource]
Material type:
Computer fileSeries: Springer texts in statisticsPublication details: New York : Springer : 2017Edition: Eighth editionDescription: 1 online resource ( xiv, 426 pages) : illustrationsISBN: - 9781461471387 (E-book)
- Statistical learning
- QA 276 I57 2017
| Item type | Current library | Collection | Shelving location | Call number | Status | Barcode | Course reserves | |
|---|---|---|---|---|---|---|---|---|
E-Book
|
SPU Library, Bangkok (Main Campus) | Electronic Resources | On Display | QA 276 I57 2017 (Browse shelf(Opens below)) | Available | 9781461471387 |
ความน่าจะเป็นและสถิติ (PROBABILITY AND STATISTICS) ภาคการศึกษาที่ 1 |
Includes index
Introduction -- Statistical learning -- Linear regression -- Classification -- Resampling methods -- Linear model selection and regularization -- Moving beyond linearity -- Tree-based methods -- Support vector machines -- Unsupervised learning
There are no comments on this title.
Click on an image to view it in the image viewer