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The elements of statistical learning : data mining, inference, and prediction / Trevor Hastie, Robert Tibshirani, Jerome Friedman [electronic book] /

By: Contributor(s): Material type: Computer fileComputer fileSeries: Springer series in statistics | Springer series in statisticsPublisher: New York : Springer, ©2017Edition: Second editionDescription: 1 online resource (xxi, 757 pages) : chartsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780387848587
Subject(s): Online resources: Summary: This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry
List(s) this item appears in: EBOOK: ATU Libraries Galway - Mayo - Connemara | ON ATU GALWAY READING LISTS June 2023
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eBooks eBooks ATU Electronic Resources 1-User eBook (Browse shelf(Opens below)) Available ebook - click link above to access ebk274970

Includes bibliographic references and index

Restricted to GMIT Library patrons

This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry

eBook, Available via GMIT Library webpage

Subject to print download restrictions

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