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 year...
Guardado en:
| Otros Autores: | , , , |
|---|---|
| Formato: | Libro |
| Lenguaje: | Inglés |
| Publicado: |
New York :
Springer-Verlag,
2014.
|
| Edición: | Corrected ed. |
| Colección: | Springer texts in statistics
|
| Materias: | |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
| LEADER | 03680nam a2200469Ia 4500 | ||
|---|---|---|---|
| 001 | 990000641640204151 | ||
| 005 | 20200831165706.0 | ||
| 008 | 150610s2014 nyua 001 0 eng d | ||
| 020 | |a 9781461471370 (acid-free paper) | ||
| 020 | |a 1461471370 (acid-free paper) | ||
| 020 | |a 9781461471387 (eBook) | ||
| 020 | |a 1461471389 (eBook) | ||
| 035 | |a (OCoLC)000064164 | ||
| 035 | |a (udesa)000064164USA01 | ||
| 035 | |a (OCoLC)910918630 | ||
| 035 | |a (OCoLC)990000641640204151 | ||
| 040 | |a U@S |b spa |c U@S | ||
| 049 | |a U@SA | ||
| 050 | 4 | |a QA276 |b .I67 2014 | |
| 245 | 0 | 3 | |a An introduction to statistical learning : |b with applications in R / |c Gareth James ... [et al.]. |
| 246 | 3 | 0 | |a Statistical learning |
| 250 | |a Corrected ed. | ||
| 260 | |a New York : |b Springer-Verlag, |c 2014. | ||
| 300 | |a xiv, 426 p. : |b il. ; |c 24 cm. | ||
| 490 | 1 | |a Springer texts in statistics | |
| 500 | |a Autores: Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani. | ||
| 500 | |a Incluye índice. | ||
| 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. | |
| 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 ... The text assumes only a previous course in linear regression and no knowledge of matrix algebra. Provides tools for Statistical Learning that are essential for practitioners in science, industry and other fields. Analyses and methods are presented in R. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, and clustering. Extensive use of color graphics assist the reader"--Descripción del editor. | ||
| 650 | 0 | |a Mathematical statistics |v Problems, exercises, etc. | |
| 650 | 0 | |a Mathematical models |v Problems, exercises, etc. | |
| 650 | 0 | |a R (Computer program language) | |
| 650 | 0 | |a Statistics. | |
| 650 | 7 | |a Estadística matemática |v Problemas, ejercicios, etc. |2 UDESA | |
| 650 | 7 | |a Modelos matemáticos |v Problemas, ejercicios, etc. |2 UDESA | |
| 650 | 7 | |a R (Lenguaje de programación (Computadoras)) |2 UDESA | |
| 650 | 7 | |a Estadística. |2 UDESA | |
| 700 | 1 | |a James, Gareth |q (Gareth Michael) | |
| 700 | 1 | |a Witten, Daniela. | |
| 700 | 1 | |a Hastie, Trevor. | |
| 700 | 1 | |a Tibshirani, Robert. | |
| 830 | 0 | |a Springer texts in statistics | |