Summary
We briefly discussed Mahout and Spark bindings. This is the future of Mahout, though a production-ready release is some time away. We learned the basic operations that can be performed on the various data structures and went through an example of applying these techniques to build a machine learning algorithm. I would encourage you to keep yourself updated on the development of Mahout and Spark bindings, and the best way would be to follow the Mahout Wiki.
In the next chapter, we will discuss end-to-end practical use cases of customer analytics. Most of the techniques used so far will be put into practice, and you will get an idea of a real-life analytics project.
