Many of the same subjects are covered in An Introduction to Statistical Learning, but at a level that is understandable to a far larger audience. This book is intended for both statisticians and non-statisticians who want to analyse their data using cutting-edge statistical learning approaches. Only a prior linear regression course and no prior understanding of matrix algebra are assumed throughout the material.
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An Introduction to Statistical Learning: with Applications in R 2021 Edition
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Springer
New
978-1071614174
Gareth James, Daniela Witten, Trevor Hastis
Hardcover
New
978-1071614174
Gareth James, Daniela Witten, Trevor Hastis
Hardcover
200 in stock
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| ISBN - 13 | 978-1071614174 |
|---|---|
| ISBN - 10 | 1071614177 |
| Condition | New |
| Edition | 2nd |
| Dimensions | 6.5 x 1.25 x 9.5 inches |
| Format | Hardcover |
| Item Weight | 2.63 pounds |
| Publisher | Springer |
| Pages | 622 |
| Release Date | 30 July 2021 |
Anna watkins –
Practical approach to Statistical Learning. Well written by pioneers in the field.
Melissa eason –
Needed it for class and yep learned things.