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An Introduction to Statistical Learning: with Applications in R - Springer Texts in Statistics Gareth James 1st ed. 2013, Corr. 7th printing 2017 edition
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An Introduction to Statistical Learning: with Applications in R - Springer Texts in Statistics
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.
430 pages, 4 black & white illustrations, 146 colour illustrations, 10 black & white tables, biograp
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2017. gada 1. septembris |
| ISBN13 | 9781461471370 |
| Izdevēji | Springer-Verlag New York Inc. |
| Lapas | 426 |
| Izmēri | 163 × 241 × 25 mm · 907 g |
| Valoda | Angļu |