Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies /
by Kelleher, John D [author.]; Mac Namee, Brian [author.]; D'Arcy, Aoife [author.].
Type:
BookPublisher: Cambridge The MIT Press 2020Edition: Second edition.Description: liv, 798pages cm.ISBN: 9780262044691.Subject(s): Machine learning
| Data mining | Prediction theoryOnline resources: http://14.139.59.218:80/cgi-bin/koha/opac-detail.pl?biblionumber=Ubiblionumber Summary: "A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications"--
| Item type | Location | Call number | Status | Date due | Barcode |
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| BOOK |
CSIR-Institute of Himalayan Bioresource Technology
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519.2 FUN (Browse shelf) | Available | 6198 |
Includes bibliographical references and index.
"A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications"--
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