Summary
I hope you enjoyed this introduction to machine learning. You learned how to leverage your skills in Scala programming to create a simple logistic regression program for predicting stock price/volume action. Here are the highlights of this introductory chapter:
From monadic composition and high order collection methods for parallelization to configurability and reusability patterns, Scala is the perfect fit to implement data mining and machine learning algorithms for large-scale projects.
There are many logical steps to create and deploy a machine learning model.
The implementation of the binomial logistic regression classifier presented as part of the test case is simple enough to encourage you to learn how to write and apply more advanced machine learning algorithms.
To the delight of Scala programming aficionados, the next chapter will dig deeper into building a flexible workflow by leveraging monadic data transformation and stackable traits.
