Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies / John D. Kelleher, Brian MacNamee and Aoife D'Arcy.
Material type:
TextPublisher: Cambridge, Massachusetts : The MIT Press, 2020Edition: Second editionDescription: liv, 798 pages : illustrations ; 25 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9780262044691Subject(s): Machine learning | Data mining | Prediction theory | E-BOOKBANK.SEECSTEXTBOOKDDC classification: 519.2870285631 LOC classification: Q325.5 | .K455 2020Online resources: Click here to access online Summary: "A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications"-- Provided by publisher.
| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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Book
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Central Library (CL) | Central Library (CL) | 280 SCB (Browse shelf) | Available | SCB-1548 | ||
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Book
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Central Library (CL) | Central Library (CL) | 519.2870285631 KEL (Browse shelf) | Checked out to Muhammad Ibrahim Arif (33102-0658398-7) | 12/01/2024 | CL-1548 |
Total holds: 0
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"-- Provided by publisher.
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