Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies / John D. Kelleher, Brian MacNamee and Aoife D'Arcy.
By: Kelleher, John D [author.].
Contributor(s): Mac Namee, Brian [author.] | D'Arcy, Aoife [author.].
Publisher: Cambridge, Massachusetts : The MIT Press, ©2020Edition: Second edition.Description: 798 p.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780262044691.Subject(s): Machine learning | Data mining | Prediction theoryGenre/Form: Print books.Summary: "A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications"--| Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
| On Shelf | Q325.5 .K455 2020 (Browse shelf) | Available | AU00000000019435 |
Total holds: 0
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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"--