Name: An Introduction to Statistical Learning: With Applications in r (Springer Texts in Statistics) (en Inglés)
Price: 86514.00 COP
Availability: InStock
Rating: 5 (1 reviews)
Author: Gareth James Daniela Witten Trevor Hastie Robert Tibshirani
ISBN: 9781461471370

portada An Introduction to Statistical Learning: With Applications in r (Springer Texts in Statistics) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Gareth James Daniela Witten Trevor Hastie Robert Tibshirani

Categoría

Ciencia y Matemáticas

Año

2013

Idioma

Inglés

N° páginas

426

Encuadernación

Tapa Dura

ISBN13

9781461471370

N° edición

An Introduction to Statistical Learning: With Applications in r (Springer Texts in Statistics) (en Inglés)

Gareth James Daniela Witten Trevor Hastie Robert Tibshirani (Autor) · Springer · Tapa Dura

1 opiniones

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Reseña del libro "An Introduction to Statistical Learning: With Applications in r (Springer Texts in Statistics) (en Inglés)"

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.

Opiniones del libro

Karen AbarcaDomingo 27 de Octubre, 2019
Compra Verificada
" Si bien es un regalo ... que todavía no entrego me lo pidieron y me imagino que es bueno! Y sirve para lo que el cumpleañero necesita!! "
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