An introduction to statistical learning : with applications in R / Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani.
Sábháilte in:
| Foilsithe / Cruthaithe: |
New York :
Springer,
[2013]
©2013 |
|---|---|
| Rannpháirtithe: | |
| Sraith: | Springer texts in statistics
|
| Ábhair: | |
| Formáid: | LEABHAR |
Clár na nÁbhar:
- Introduction
- Statistical learning
- Linear regression
- Classification
- Resampling methods
- Linear model selection and regularization
- Moving beyond linearity
- Tree-based methods
- Support vector machines
- Unsupervised learning.
