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Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies

By: Kelleher, John DContributor(s): Mac Namee, Brian | D'Arcy, AoifeMaterial type: Text

TextPublication details: Cambridge MIT Press 2020Edition: 2nd edDescription: 798pISBN: 9780262044691Subject(s): Machine learning | Data mining | Prediction theoryDDC classification: 006.31 Summary: "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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Item type	Current library	Collection	Call number	Status	Date due	Barcode
BK	Stack	Stack	006.31 KEl/F (Browse shelf (Opens below))	Available		59397

"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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