Mahout in action / Sean Owen, Robin Anil, Ted Dunning, Ellen Friedman.
Material type:
TextPublisher: Shelter Island : Manning, [2012]Copyright date: ©2012Description: xxv, 387 pages : illustrations (black and white) ; 24 cmContent type: text | still image Media type: unmediated Carrier type: volumeISBN: 9781935182689 (pbk.) :Subject(s): Machine learning | Web site development | Computers and IT | Computers and ITDDC classification: 006.3'1 Summary: The Apache Mahout project is focused on three types of machine learning that are of interest to web developers: recommendation systems, classification and clustering. Through real-world examples, this book introduces the sorts of problems that these techniques are appropriate for, and then illustrates how Mahout can be applied to solve them.
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Paul Hamlyn Library | Paul Hamlyn Library | Floor 1 | 006.31 OWE (Browse shelf(Opens below)) | Available | 06357245 | |||
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Paul Hamlyn Library | Paul Hamlyn Library | Floor 1 | 006.31 OWE (Browse shelf(Opens below)) | Available | 06357253 |
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Includes ebook access.
Includes bibliographical references and index.
The Apache Mahout project is focused on three types of machine learning that are of interest to web developers: recommendation systems, classification and clustering. Through real-world examples, this book introduces the sorts of problems that these techniques are appropriate for, and then illustrates how Mahout can be applied to solve them.
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