An introduction to statistical learning : with applications in R / Gareth James; Daniela Witten; Trevor Hastie; Robert Tibshirani
By: James, Gareth (Gareth Michael)
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Contributor(s): James, Gareth (Gareth Michael) | Hastie, Trevor | Tibshirani, Robert | Witten, Daniela.
Material type: 
TextSeries: Springer Texts in statistics. Publisher: New York, NY : Springer, 2021Edition: 2.Description: 607 p.ISBN: 9781071614174.Subject(s): Mathematical statistics | Mathematical models | R (Computer program language)DDC classification: 519.5
| Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
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Book
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KCST Library | 519.5 Ja In (Browse shelf) | Available | 1000000988 |
Total holds: 0
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| 519.4 Ro Le Learning SciPy for Numerical and Scientific Computing / | 519.4 Sc Nu Numerical analysis / | 519.5 Ho In Introduction to mathematical statistics / | 519.5 Ja In An introduction to statistical learning : with applications in R / | 519.5 Ka Bu Business statistics / | 519.5 Me In Introduction to probability and statistics / | 519.5 Mo Ap Applied statistics and probability for engineers / |
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