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Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies / John D. Kelleher, Brian Mac Namee, Aoife D'Arcy.

By: Contributor(s): Material type: TextPublisher: Cambridge, Massachusetts : Massachusetts Institute of Technology Press (MIT), [2015]Copyright date: c2015Description: xxii, 595 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780262029445 (hardcover : alk. paper)
Subject(s): Genre/Form: DDC classification:
  • 006.31 KEL 22
Contents:
Machine learning for predictive data analytics -- Data to insights to decisions -- Data exploration -- Information-based learning -- Similarity-based learning -- Probability-based learning -- Error-based learning -- Evaluation -- Case study : customer churn -- Case study : galaxy classification -- The art of machine learning for predictive data analytics.
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Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Book - Borrowing Central Library Lower Floor Baccah 006.31 KEL (Browse shelf(Opens below)) Available 000048897
Total holds: 0

Includes bibliographical references and index.

Machine learning for predictive data analytics -- Data to insights to decisions -- Data exploration -- Information-based learning -- Similarity-based learning -- Probability-based learning -- Error-based learning -- Evaluation -- Case study : customer churn -- Case study : galaxy classification -- The art of machine learning for predictive data analytics.

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