HIGHLIGHT

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

leveraging machine learning techniques in large-scale applications.

DESCRIPTION

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.

KEY POINTS

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

machine learning techniques.

First and only book devoted to Apache Mahout

Practical insights from industry practitioners

Real-world examples

Discussion of large-scale implemetation with Hadoop