An introduction to statistical learning : with applications in R / Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani.
Saved in:
| Published: |
New York :
Springer,
[2013]
©2013 |
|---|---|
| Other Authors: | |
| Series: | Springer texts in statistics
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| Subjects: | |
| Format: | Book |
Table of Contents:
- Introduction
- Statistical learning
- Linear regression
- Classification
- Resampling methods
- Linear model selection and regularization
- Moving beyond linearity
- Tree-based methods
- Support vector machines
- Unsupervised learning.
