An introduction to statistical learning : with applications in R /
Guardado en:
| Autor principal: | |
|---|---|
| Otros Autores: | , , |
| Formato: | Libro |
| Lenguaje: | Inglés |
| Publicado: |
New York, NY :
Springer,
c2021
|
| Edición: | 2nd ed. |
| Colección: | Springer texts in statistics
|
| Materias: | |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
Tabla de Contenidos:
- 2 Statistical learning
- 3 Linear regression
- 4 Classification
- 5 Resampling methods
- 6 Linear model selection and regularization
- 7 Moving beyond linearity
- 8 Tree-based methods
- 9 Support vector machines
- 10 Deep learning
- 11 Survival analysis and censored data
- 12 Unsupervised learning
- 13 Multiple testing