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An introduction to statistical learning : with applications in R / Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani.

By: Material type: TextTextSeries: Publication details: New York : Springer, 2013.Description: xvi, 426 p.: ill. (some color) ; 24 cmISBN:
  • 9781461471370
Subject(s): DDC classification:
  • 519.5 JAM
Summary: 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.
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Book Book Indian Institute of Management Visakhapatnam (Browse shelf(Opens below)) Available 000765

Includes index.

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.

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