Introduction to Statistical Learning

Name: Introduction to Statistical Learning
Brand: Springer-Verlag New York Inc.
SKU: 9781071614174
Price: 2011 CZK
Availability: InStock

with Applications in R

Autor: Daniela Witten, Trevor Hastie

Jazyk:

Vazba: Pevná

Vydavatel: Springer-Verlag New York Inc.

Dostupnost: Skladem u dodavatele

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An Introduction to Statistical Learning provides an accessible overview of the field of statistical...

Informace o knize

Autor

Daniela Witten, Trevor Hastie

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2021

Stránek

607

EAN

9781071614174

ISBN

1071614177

Enbook ID

33534787

Vydavatel

Springer-Verlag New York Inc.

Hmotnost

1008

Rozměry

243 x 164 x 35

Kompletní popis

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, deep learning, survival analysis, multiple testing, 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.

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Introduction to Statistical Learning

with Applications in R

Informace o knize

Kompletní popis

Mohlo by vás zajímat

Zákaznicí kteří koupili tuto knihu koupili také