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An Introduction to Statistical Learning: With Applications in R - Gareth James - Gareth James


An Introduction to Statistical Learning: With Applications in R - Gareth James
743.93 Lei

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(17-09-2024)
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Gareth James is a professor of data sciences and operations, and the E.
Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap..
Hastie co-developed much of the Statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces.
Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title.
Trevor Hastie and Robert Tibshirani are professors of statistics at Stanford University, and are co-authors of the successful textbook Elements of Statistical Learning.
Her research focuses largely on Statistical machine learning techniques for the analysis of complex, messy, and large-scale data, With an emphasis on unsupervised learning.
Daniela Witten is a professor of statistics and biostatistics, and the Dorothy Gilford Endowed Chair, at the University of Washington.
The conceptual framework for this book grew out of his MBA elective courses in this area.
He has published an extensive body of methodological work in the domain of Statistical learning With particular emphasis on high-dimensional and functional data.
Morgan Stanley Chair in Business Administration, at the University of Southern California.
Gareth James is a professor of data sciences and operations, and the E


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