An Introduction to Statistical Learning by Gareth James

An Introduction to Statistical Learning by Gareth James

This book presents key modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, and clustering.

“Data and statistics are an increasingly important part of modern life, and nearly everyone would be better off with a deeper understanding of the tools that help explain our worldEven if you don’t want to become a data analyst—which happens to be one of the fastest-growing jobs out there, just so you know—these books are invaluable guides to help explain what’s going on.” (Pocket, February 23, 2018)

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.      

SKU	Unavailable
ISBN 13	9781461471370
ISBN 10	1461471370
Title	An Introduction to Statistical Learning
Author	Gareth James
Series	Springer Texts In Statistics
Condition	Unavailable
Binding Type	Hardback
Publisher	Springer-Verlag New York Inc.
Year published	2017-09-01
Number of pages	426
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.