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The first and only book on Apache Mahout, an open source tool for

leveraging machine learning techniques in large-scale applications.



To benefit from prior experience in the use of a website, machine

learning techniques are increasingly used. The Apache Mahout project

is focused on three types of machine learning that are of particular

interest to modern web developers?recommendation systems,

classification, and clustering.

Through real-world examples, Mahout in Action introduces the sorts of

problems that these techniques are appropriate for, and then illustrates

how Mahout can be applied to solve them. It places particular focus on

issues of scalability, and how to apply these techniques at very large

scale with the Apache Hadoop framework.



This book assumes familiarity with Java, and some basic grounding in

machine learning techniques.< /P>F

? First and only book devoted to Apache Mahout


? Practical insights from industry practitioners


? Real-world examples


? Discussion of large-scale implemetation with Hadoop


Språk Engelsk Engelsk Utgitt 2011
Forfatter Ellen Friedman, Robin Anil, Sean Owen, Ted Dunning Forlag
ISBN 9781935182689 Antall sider 375
Dimensjoner 18,9cm x 23,4cm x 2,1cm Vekt 706 gram
Leverandør Bertram Trading Ltd Emner og form Programming & scripting languages: general, Algorithms & data structures