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An Introduction To Statistical Learning
With Applications In R
Book
eBook
language: english
Publisher:
SPRINGER-VERLAG NEW YORK INC., September of 2017 ‧
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SYNOPSIS
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.
DETAILS
| Property | Description |
|---|---|
| ISBN: | 9781461471370 |
| Publisher: | SPRINGER-VERLAG NEW YORK INC. |
| Release Date: | September of 2017 |
| Language: | English |
| Dimensions: | 160 x 240 x 25 mm |
| Cover: | Hardcover |
| Pages: | 426 |
| Format: | Book |
| Collection: | Springer Texts In Statistics |
| Categories: |
Books in English
>
Science
>
Mathematics
|
| EAN: | 9781461471370 |
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