Scala and Spark for Big Data Analytics

Summary

In this chapter, we had a brief introduction to the topic and got a grasp of simple, yet powerful and common ML techniques. Finally, you saw how to build your own predictive model using Spark. You learned how to build a classification model, how to use the model to make predictions, and finally, how to use common ML techniques such as dimensionality reduction and One-Hot Encoding.

In the later sections, you saw how to apply the regression technique to high-dimensional datasets. Then, you saw how to apply a binary and multiclass classification algorithm for predictive analytics. Finally, you saw how to achieve outstanding classification accuracy using a random forest algorithm. However, we have other topics in machine learning that ...