The elements of statistical learning : data mining, inference,and prediction / Trevor Hastie, Robert Tibshirani, Jerome Friedman
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| Autore: |
HASTIE, Trevor
|
| Titolo: |
The elements of statistical learning : data mining, inference,and prediction / Trevor Hastie, Robert Tibshirani, Jerome Friedman
|
| Pubblicazione: | New York, : Springer, 2017 |
| Edizione: | 2.ed |
| Descrizione fisica: | XVI, 533 p. : ill. ; 24 cm |
| Disciplina: | 006.31 |
| Soggetto topico: | Apprendimento automatico - Metodi statistici |
| Altri autori: |
TIBSHIRANI, Robert
FRIEDMAN, Jerome
|
| Sommario/riassunto: | This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. |
| Titolo autorizzato: | Elements of statistical learning |
| ISBN: | 978-0-387-84857-0 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Non definito |
| Record Nr.: | 996260344903316 |
| Lo trovi qui: | Univ. di Salerno |
| Collocazione: | INF01/39 |
| 006.31 HAS 1 | |
| Opac: | Controlla la disponibilità qui |
Serie:
Springer series in statistics
| Biblioteca: | Univ. di Salerno |
| Opac: | Controlla la disponibilità qui |