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 MahoutF
? Practical insights from industry practitionersF
? Real-world examplesF
? Discussion of large-scale implemetation with Hadoop
|Forfatter||Ellen Friedman, Robin Anil, Sean Owen, Ted Dunning||Forlag||
|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|