Supervised Learning Using Apache Spark

In this chapter, we will develop, test, and evaluate supervised machine learning models applied to a variety of real-world use cases using Python, Apache Spark, and its machine learning library, MLlib. Specifically, we will train, test, and interpret the following types of supervised machine learning models:

• Univariate linear regression
• Multivariate linear regression
• Logistic regression
• Classification and regression trees
• Random forests