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Apache Mahout Essentials by Jayani Withanawasam

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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?

Machine learning in a nutshell

 

"Machine learning is the most exciting field of all the computer sciences. Sometimes I actually think that machine learning is not ...

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