An Introduction to Statistical Learning : 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 : with Applications in R / / by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani |
Autore | James Gareth (Gareth Michael) |
Edizione | [Second Edition.] |
Pubbl/distr/stampa | New York, NY : , : Springer US : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (xv, 607 p : il. col.) |
Collana | Springer Texts in Statistics |
Soggetto topico |
Statistics
Mathematical statistics - Data processing Artificial intelligence Statistical Theory and Methods Statistics and Computing Artificial Intelligence Estadística matemàtica Models matemàtics R (Llenguatge de programació) |
Soggetto genere / forma | Llibres electrònics |
ISBN | 1-0716-1418-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- 1 Introduction -- 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 -- Index. |
Record Nr. | UNISA-996466401603316 |
James Gareth (Gareth Michael) | ||
New York, NY : , : Springer US : , : Imprint : Springer, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
An Introduction to Statistical Learning : with Applications in R / / by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani |
Autore | James Gareth (Gareth Michael) |
Edizione | [Second Edition.] |
Pubbl/distr/stampa | New York, NY : , : Springer US : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (xv, 607 p : il. col.) |
Collana | Springer Texts in Statistics |
Soggetto topico |
Statistics
Mathematical statistics - Data processing Artificial intelligence Statistical Theory and Methods Statistics and Computing Artificial Intelligence Estadística matemàtica Models matemàtics R (Llenguatge de programació) |
Soggetto genere / forma | Llibres electrònics |
ISBN | 1-0716-1418-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- 1 Introduction -- 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 -- Index. |
Record Nr. | UNINA-9910495188803321 |
James Gareth (Gareth Michael) | ||
New York, NY : , : Springer US : , : Imprint : Springer, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
An Introduction to Statistical Learning : 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 | ||
|