Skip to main content

Spark Machine Learning Library

  • Chapter
  • First Online:
Book cover Practical Apache Spark

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 44.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 59.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Subhashini Chellappan, Dharanitharan Ganesan

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Chellappan, S., Ganesan, D. (2018). Spark Machine Learning Library. In: Practical Apache Spark. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3652-9_8

Download citation

Publish with us

Policies and ethics