Book Image

Apache Mahout Essentials

By : Jayani Withanawasam
Book Image

Apache Mahout Essentials

By: Jayani Withanawasam

Overview of this book

Table of Contents (13 chapters)
Apache Mahout Essentials
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Chapter 1. Introducing Apache Mahout

As you may be already aware, Apache Mahout is an open source library of scalable machine learning algorithms that focuses on clustering, classification, and recommendations.

This chapter will provide an introduction to machine learning and Apache Mahout.

In this chapter, we will cover the following topics:

  • Machine learning in a nutshell

  • Machine learning applications

  • Machine learning libraries

  • The history of machine learning

  • Apache Mahout

  • Setting up Apache Mahout

  • How Apache Mahout works

  • From Hadoop MapReduce to Spark

  • When is it appropriate to use Apache Mahout?