Practical Machine Learning with Regression and Classification in Spark 2.0 - Part II

In this chapter, we will cover the following recipes:

• Linear regression with SGD optimization in Spark 2.0
• Logistic regression with SGD optimization in Spark 2.0
• Ridge regression with SGD optimization in Spark 2.0
• Lasso regression with SGD optimization in Spark 2.0
• Logistic regression with L-BFGS optimization in Spark 2.0
• Support Vector Machine (SVM) with Spark 2.0
• Naïve Bayes machine learning with Spark 2.0 MLlib
• Exploring ML pipelines and DataFrames using logistic regression in Spark 2.0