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Mahout in action, sean owen, robin anil, ted dunning, ellen friedman, more

849 грн

Описание

Summary

Mahout in Action

About the Technology

A computer system that learns and adapts as it collects data can be really
powerful. Mahout, Apache's open source machine learning project, captures the
core algorithms of recommendation systems, classification, and clustering in
ready-to-use, scalable libraries. With Mahout, you can immediately apply to
your own projects the machine learning techniques that drive Amazon, Netflix,
and others.

About this Book

This book covers machine learning using Apache Mahout. Based on experience
with real-world applications, it introduces practical use cases and
illustrates how Mahout can be applied to solve them. It places particular
focus on issues of scalability and how to apply these techniques against large
data sets using the Apache Hadoop framework.

This book is written for developers familiar with Java -- no prior experience
with Mahout is assumed.

What's Inside

Use group data to make individual recommendations

Find logical clusters within your data

Filter and refine with on-the-fly classification

Free audio and video extras

Table of Contents

Meet Apache Mahout

PART 1 RECOMMENDATIONS

Introducing recommenders

Representing recommender data

Making recommendations