Book Image

Apache Spark Machine Learning Blueprints

By : Alex Liu
Book Image

Apache Spark Machine Learning Blueprints

By: Alex Liu

Overview of this book

There's a reason why Apache Spark has become one of the most popular tools in Machine Learning – its ability to handle huge datasets at an impressive speed means you can be much more responsive to the data at your disposal. This book shows you Spark at its very best, demonstrating how to connect it with R and unlock maximum value not only from the tool but also from your data. Packed with a range of project "blueprints" that demonstrate some of the most interesting challenges that Spark can help you tackle, you'll find out how to use Spark notebooks and access, clean, and join different datasets before putting your knowledge into practice with some real-world projects, in which you will see how Spark Machine Learning can help you with everything from fraud detection to analyzing customer attrition. You'll also find out how to build a recommendation engine using Spark's parallel computing powers.
Table of Contents (18 chapters)
Apache Spark Machine Learning Blueprints
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Chapter 8. Learning Analytics on Spark

To continue our machine learning on Spark, we will further extend our application to serve the educational sector in this chapter and the government sector in next chapter. Specifically, in this chapter, we will extend our application to serve learning organizations, such as universities and training institutions, for which we will apply machine learning to improve the learning analytics for a real case of predicting student attrition. In the next chapter, we will utilize our Apache Spark machine learning to serve city governments, for which we will demonstrate our application with a real use case of predicting service requests.

By following the structures and processes established in previous chapters, in this chapter, we will first review machine learning methods and related computing for the real case of predicting student attrition, and we will then discuss how Apache Spark comes in to make them easy. At the same time, by working on this real-life...