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- [author.]

Contributor(s):

Material type:

TextPublication details: England: The MIT Press 2020Edition: Second editionDescription: liv, 798 pages : illustrations ; 25 cmISBN:

9780262044691

Subject(s):

DDC classification:

519.2870285631 23 K2917f

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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Holdings
Item type	Current library	Call number	Vol info	Copy number	Status	Barcode
Books	Library, Independent University, Bangladesh (IUB) Reference Stacks	519.2870285631 K2917f (Browse shelf(Opens below))	2020	02	Not For Loan	029679
Books	Library, Independent University, Bangladesh (IUB) Reference Stacks	519.2870285631 K2917f (Browse shelf(Opens below))	2020	01	Not For Loan	029678

Total holds: 0

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Previous	519.2 H7161p 2006 Probability and statistical inference /	519.2 P218p Probability, Random Variables, and Stochastic Processes /	519.2 T841p 2002 Probability and statistics with reliability, queuing, and computer science applications /	519.2870285631 K2917f Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies /	519.2870285631 K2917f Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies /	519.3 D2861m Multi-objective optimization using evolutionary algorithms /	519.3 D2861m Optimization for engineering design: algorithms and examples/	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"--

School of engineering, Technology &Sciences Physical Science Reference Stacks

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