Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies / John D. Kelleher, Brian Mac Namee, Aoife D'Arcy.
By: Kelleher, John D.
Contributor(s): Mac Namee, Brian | D'Arcy, Aoife.
Publisher: Cambridge, Massachusetts : The MIT Press, ©2015Description: 595 pages ; illustrations ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780262029445 (hardcover : alk. paper).Subject(s): Machine learning | Data mining | Prediction theoryGenre/Form: Print books.Current location | Call number | Status | Date due | Barcode | Item holds |
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On Shelf | Q325.5 .K455 2015 (Browse shelf) | Available | AU00000000014464 |
Includes bibliographical references (pages 557-563) and index.
Machine learning for predictive data analytics -- Data to insights to decisions -- Data exploration -- Information-based learning -- Similarity-based learning -- Probability-based learning -- Error-based learning -- Evaluation -- Case study : customer churn -- Case study : galaxy classification -- The art of machine learning for predictive data analytics.