Decision Trees and Random forests

This is fundamental stuff, that every practitioner should know well.  Its the simplest way that machines can be made to learn. And provides a good way to deliver real results.  Nice description... most is quite non-technical.  You should also know when this wont work, the data required, cautions to take .... but this is a great start

How do Decision Trees and Random Forests Work?

Part 1: Decision Trees

By Dick Brown  in TowardsDatascience

 Decision trees and random forests are two commonly used algorithms in predictive modeling. In this article, I’m going to discuss the process behind decision trees. I’m planning to follow this up with a second part that discusses random forests, and then compare the two.

First off: decision trees. A decision tree is named for the shape of the plot that comes out. The image below shows a decision tree for deciding what factors affected survival from the Titanic disaster.  ... "