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, 1974-

Contributor(s):

Material type: Text

TextPublication details: London, The MIT Press, 2020.Edition: 2nd edDescription: liv,798ISBN:

9780262044691

Subject(s):

DDC classification:

006.31 KEL/F

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	Call number	Status	Date due	Barcode
Books	Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre Computer Science	006.31 KEL/F (Browse shelf(Opens below))	Available		6860

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Previous	006.31 KAR/M Machine learning projects for mobile applications: Build android and iOS applications using tensorflow lite and core ML	006.31 KAS/M Machine learning for decision makers: Cognitive computing fundamentals for better decision making	006.31 KEL/F Fundamentals of machine learning for predictive data analytics: Algorithms, worked examples and case studies	006.31 KEL/F Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies /	006.31 KEL/F;1 Fundamentals of machine learning for predictive data analytics: Algorithms, worked examples and case studies	006.31 KET/D Deep learning with python: A hands on introduction	006.31 KET/D;1 Deep learning with python: A hands on introduction	Next

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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