MLlib tackles the challenge of devising scalable machine learning algorithms head-on. In this chapter, we used it to train a simple scalable spam filter. MLlib is a vast, rapidly evolving library. The best way to learn more about what it can offer is to try and port code that you might have written using another library (such as scikit-learn).

In the next chapter, we will look at how to build web APIs and interactive visualizations to share our results with the rest of the world.