An introduction to statistical learning : with applications in R / Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani.
Saved in:
| 出版: |
New York :
Springer,
[2013]
©2013 |
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| 其他作者: | |
| 叢編: | Springer texts in statistics
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| 主題: | |
| 格式: | 圖書 |
書本目錄:
- Introduction
- Statistical learning
- Linear regression
- Classification
- Resampling methods
- Linear model selection and regularization
- Moving beyond linearity
- Tree-based methods
- Support vector machines
- Unsupervised learning.
