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An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage ap ...

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DETAILS

  • An Introduction to Statistical Learning
  • with Applications in R
  • James, Gareth, Witten, Daniela, Hastie, Trevor
  • Gebunden, xv, 607 S.
  • XV, 607 p. 191 illus., 182 illus. in color.
  • Sprache: Englisch
  • 235 mm
  • ISBN-13: 978-1-07-161417-4
  • Titelnr.: 89038157
  • Gewicht: 1148 g
  • Springer, Berlin (2021)
  • Springer-Verlag GmbH
  • Tiergartenstr. 17

    69121 Heidelberg

    buchhandel-buch@springer.com

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