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An Introduction to Statistical Learning [[electronic resource] ] : with Applications in Python / / by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor
| An Introduction to Statistical Learning [[electronic resource] ] : with Applications in Python / / by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor |
| Autore | James Gareth |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (617 pages) |
| Disciplina | 519.5 |
| Altri autori (Persone) |
WittenDaniela
HastieTrevor TibshiraniRobert TaylorJonathan |
| Collana | Springer Texts in Statistics |
| Soggetto topico |
Statistics
Mathematical statistics - Data processing Statistical Theory and Methods Statistics and Computing Applied Statistics Estadística matemàtica Models matemàtics Python (Llenguatge de programació) |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783031387470
3-031-38747-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Statistical Learning -- Linear Regression -- Classification -- Resampling Methods -- Linear Model Selection and Regularization -- Moving Beyond Linearity -- Tree-Based Methods -- Support Vector Machines -- Deep Learning -- Survival Analysis and Censored data -- Unsupervised Learning -- Multiple Testing -- Index. |
| Record Nr. | UNINA-9910734891903321 |
James Gareth
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
An Introduction to Statistical Learning [[electronic resource] ] : with Applications in R / / by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
| An Introduction to Statistical Learning [[electronic resource] ] : with Applications in R / / by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani |
| Autore | James Gareth |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XIV, 426 p. 150 illus., 146 illus. in color.) |
| Disciplina | 519.5 |
| Collana | Springer Texts in Statistics |
| Soggetto topico |
Statistics
Artificial intelligence R (Computer program language) Statistical Theory and Methods Statistics and Computing/Statistics Programs Artificial Intelligence Statistics, general |
| ISBN | 1-4614-7138-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Statistical Learning -- Linear Regression -- Classification -- Resampling Methods -- Linear Model Selection and Regularization -- Moving Beyond Linearity -- Tree-Based Methods -- Support Vector Machines -- Unsupervised Learning -- Index. |
| Record Nr. | UNINA-9910438159503321 |
|
James Gareth
|
||
| New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||