An introduction to statistical learning : with applications in R / Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani.
محفوظ في:
| منشور في: |
New York :
Springer,
[2013]
©2013 |
|---|---|
| مؤلفون آخرون: | |
| سلاسل: | Springer texts in statistics
|
| الموضوعات: | |
| التنسيق: | كتاب |
جدول المحتويات:
- Introduction
- Statistical learning
- Linear regression
- Classification
- Resampling methods
- Linear model selection and regularization
- Moving beyond linearity
- Tree-based methods
- Support vector machines
- Unsupervised learning.
