An introduction to statistical learning : with applications in R
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. Thi...
Shranjeno v:
| Auteurs principaux: | , , , |
|---|---|
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Izdaja: | 1st ed. 2013. |
| Serija: | Springer Texts in Statistics
103 |
| Teme: | |
| Online dostop: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Sporočilo: |
Autre auteur : Robert Tibshirani Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • An introduction to statistical learning, with applications in R, Gareth James, Daniela Witten, Trevor Hastie... [et autre], 2013, New York, Springer, 1 volume (XIV-426 pages), Springer texts in statistics, 978-1-4614-7137-0, Texte imprimé • An Introduction to Statistical Learning, Texte imprimé, 9781461471370 • An Introduction to Statistical Learning, Texte imprimé, 9781461471394 • An Introduction to Statistical Learning, Texte imprimé, 9781071613054 |
| LEADER | 04994nam a22005417a 4500 | ||
|---|---|---|---|
| 001 | 946485 | ||
| 008 | 130704q2000 xxe ||| |||| 00| 0 eng d | ||
| 009 | PPN170488470 | ||
| 020 | |a 9781461471387 | ||
| 041 | 0 | |a eng | |
| 082 | |a 519.5 | ||
| 084 | |a 62H30. 2010 | ||
| 084 | |a 62J12. 2010 | ||
| 084 | |a 62H25. 2010 | ||
| 084 | |a 68T05. 2010 | ||
| 100 | 1 | |a James, Gareth, |d 19..-...., |c professeur en sciences des données. | |
| 245 | 1 | 0 | |a An introduction to statistical learning : |b with applications in R |c bGareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani. |
| 250 | |a 1st ed. 2013. | ||
| 260 | |a New York, NY : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Springer Texts in Statistics |v 103 |x 2197-4136 | |
| 500 | |a Autre auteur : Robert Tibshirani | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Index | ||
| 505 | 1 | |a 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. | |
| 505 | 0 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra | ||
| 630 | |a R |n logiciel | ||
| 650 | |a Statistique mathématique |x Problèmes et exercices | ||
| 650 | |a Modèles mathématiques |x Problèmes et exercices | ||
| 650 | |a Statistique | ||
| 650 | |a Analyse multivariée | ||
| 700 | 1 | |a Witten, Daniela, |d 19..-...., |c bio-statisticienne. |4 aut | |
| 700 | 1 | |a Hastie, Trevor J., |d 1953-...., |c mathématicien. |4 aut | |
| 700 | 1 | |a Tibshirani, Robert John, |d 1956-...., |c biostatisticien. |4 aut | |
| 776 | 0 | |0 171453530 |t An introduction to statistical learning |o with applications in R |f Gareth James, Daniela Witten, Trevor Hastie... [et autre] |d 2013 |c New York |n Springer |p 1 volume (XIV-426 pages) |s Springer texts in statistics |z 978-1-4614-7137-0 |b Texte imprimé | |
| 776 | 0 | |t An Introduction to Statistical Learning |b Texte imprimé |z 9781461471370 | |
| 776 | 0 | |t An Introduction to Statistical Learning |b Texte imprimé |z 9781461471394 | |
| 776 | 0 | |t An Introduction to Statistical Learning |b Texte imprimé |z 9781071613054 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-1-4614-7138-7 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-WQT5132V-1 |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:747832668 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-1-4614-7138-7 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:750850043 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-1-4614-7138-7 |z Accès INSA CVL | |
| 997 | |0 946485 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||