The Elements of statistical learning : data mining, inference, and prediction
Guardado en:
| Autor principal: | |
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| Otros Autores: | , |
| Formato: | Libro |
| Lenguaje: | Inglés Español |
| Publicado: |
New York :
Springer,
2017
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| Edición: | 2nd ed., 12th repr. |
| Colección: | Springer texts in statistics
|
| Materias: | |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
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| 100 | 1 | |9 21098 |a Hastie, Trevor | |
| 245 | 1 | 4 | |a The Elements of statistical learning |b : data mining, inference, and prediction |c / Trevor Hastie, Robert Tibshirani, Jerome Friedman |
| 250 | |a 2nd ed., 12th repr. | ||
| 260 | 3 | |a New York : |b Springer, |c 2017 | |
| 300 | |a xxii, 745 p. : |b il. ; |c 24 cm. | ||
| 490 | 0 | |a Springer texts in statistics | |
| 505 | 0 | |a Introduction -- Overview of supervised learning -- Linear methods for regression -- Linear methods for classification -- Basis expansions and regularization -- Kernel smoothing methods -- Model assessment and selection -- Model inference and averaging -- Additive models, trees, and related methods -- Boosting and additive trees -- Neural networks -- Support vector machines and flexible discriminants -- Prototype methods and nearest neighbors -- Unsupervised learning -- Random forests -- Ensemble learning -- Undirected graphical models -- High-dimensional problems. | |
| 650 | 4 | |a Estadística |9 298 | |
| 650 | 7 | |a Modelo matemático |9 866 |2 unescot | |
| 650 | 4 | |a Análisis estadístico |9 846 | |
| 700 | 1 | |9 21099 |a Tibshirani, Robert | |
| 700 | 1 | |9 21152 |a Friedman, Jerome | |
| 942 | |2 CDU |c LIBRO | ||
| 999 | |c 16171 |d 16171 | ||
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