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The elements of statistical learning: data mining, inference, and prediction

Detalles Bibliográficos
Autores principales: Hastie, Trevor, Tibshirani, Robert, Friedman, Jerome Isaac
Lenguaje:eng
Publicado: Springer 2001
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-0-387-21606-5
http://cds.cern.ch/record/824101
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author Hastie, Trevor
Tibshirani, Robert
Friedman, Jerome Isaac
author_facet Hastie, Trevor
Tibshirani, Robert
Friedman, Jerome Isaac
author_sort Hastie, Trevor
collection CERN
id cern-824101
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2001
publisher Springer
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spelling cern-8241012021-04-22T02:25:09Zdoi:10.1007/978-0-387-21606-5http://cds.cern.ch/record/824101engHastie, TrevorTibshirani, RobertFriedman, Jerome IsaacThe elements of statistical learning: data mining, inference, and predictionMathematical Physics and MathematicsSpringeroai:cds.cern.ch:8241012001
spellingShingle Mathematical Physics and Mathematics
Hastie, Trevor
Tibshirani, Robert
Friedman, Jerome Isaac
The elements of statistical learning: data mining, inference, and prediction
title The elements of statistical learning: data mining, inference, and prediction
title_full The elements of statistical learning: data mining, inference, and prediction
title_fullStr The elements of statistical learning: data mining, inference, and prediction
title_full_unstemmed The elements of statistical learning: data mining, inference, and prediction
title_short The elements of statistical learning: data mining, inference, and prediction
title_sort elements of statistical learning: data mining, inference, and prediction
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-0-387-21606-5
http://cds.cern.ch/record/824101
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