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. 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 pres…
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Produktdetails
Weitere Autoren: Witten, Daniela / Hastie, Trevor / Tibshirani, Robert
- ISBN: 978-1-4614-7137-0
- EAN: 9781461471370
- Produktnummer: 14538570
- Verlag: Springer Nature EN
- Sprache: Englisch
- Erscheinungsjahr: 2013
- Seitenangabe: 426 S.
- Masse: H24.3 cm x B16.4 cm x D2.5 cm 953 g
- Auflage: 8th printi 2017
- Abbildungen: schwarz-weiss Illustrationen, Tabellen, schwarz-weiss
- Gewicht: 953
Über den Autor
Gareth James is a professor of data sciences and operations at the University of Southern California. He has published an extensive body of methodological work in the domain of statistical learning with particular emphasis on high-dimensional and functional data. The conceptual framework for this book grew out of his MBA elective courses in this area.Daniela Witten is an associate professor of statistics and biostatistics at the University of Washington. Her research focuses largely on statistical machine learning in the high-dimensional setting, with an emphasis on unsupervised learning.Trevor Hastie and Robert Tibshirani are professors of statistics at Stanford University, and are co-authors of the successful textbook Elements of Statistical Learning. Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap.
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