© Subhashini Chellappan, Dharanitharan Ganesan 2018
Subhashini Chellappan and Dharanitharan GanesanPractical Apache Sparkhttps://doi.org/10.1007/978-1-4842-3652-9_8

8. Spark Machine Learning Library

Subhashini Chellappan1  and Dharanitharan Ganesan2
(1)
Bangalore, India
(2)
Krishnagiri, Tamil Nadu, India
 

In previous chapters, the fundamental components of Spark such as Spark Core, Spark SQL, and Spark Streaming have been covered. In addition to these components, the Spark ecosystem provides an easy way to implement machine learning algorithms through the Spark Machine Learning Library, Spark MLlib. The goal is to implement scalable machine learning easily.

The recommended background for this chapter is to have some prior experience with Scala. Experience ...

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