Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies
ISBN-13:
9780262044691
ISBN-10:
0262044692
Edition:
2
Author:
John D. Kelleher, Brian Mac Namee, Aoife DArcy
Publication date:
2020
Publisher:
The MIT Press
Format:
Hardcover
856 pages
Category:
AI & Machine Learning
,
Algorithms
,
Programming
,
Computer Science
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Book details
ISBN-13:
9780262044691
ISBN-10:
0262044692
Edition:
2
Author:
John D. Kelleher, Brian Mac Namee, Aoife DArcy
Publication date:
2020
Publisher:
The MIT Press
Format:
Hardcover
856 pages
Category:
AI & Machine Learning
,
Algorithms
,
Programming
,
Computer Science
Summary
Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies (ISBN-13: 9780262044691 and ISBN-10: 0262044692), written by authors
John D. Kelleher, Brian Mac Namee, Aoife DArcy, was published by The MIT Press in 2020.
With an overall rating of 4.5 stars, it's a notable title among other
AI & Machine Learning
(Algorithms, Programming, Computer Science) books. You can easily purchase or rent Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies (Hardcover, Used) from BooksRun,
along with many other new and used
AI & Machine Learning
books
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And, if you're looking to sell your copy, our current buyback offer is $31.04.
Description
"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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