Mastering Machine Learning with Spark 2.x

The machine learning algorithm using a distributed environment

Machine learning algorithms combine simple tasks into complex patterns, that are even more complicated in distributed environment. Let's take a simple decision tree algorithm (reference), for example. This particular algorithm creates a binary tree that tries to fit training data and minimize prediction errors. However, in order to do this, it has to decide about the branch of tree it has to send every data point to (don't worry, we'll cover the mechanics of how this algorithm works along with some very useful parameters that you can learn in later in the book). Let's demonstrate it with a simple example:

Figure 3 - Example of red and blue data points covering 2D space.

Consider ...