We recently came across a neat interactive visual introduction to machine learning. It's an excellent explanation on how decision trees work, using data about houses to distinguish homes in New York from homes in San Francisco, for technical and non-technical audiences alike.Recap, taken from the article:
- Machine learning identifies patterns using statistical learning and computers by unearthing boundaries in data sets. You can use it to make predictions.
- One method for making predictions is called a decision trees, which uses a series of if-then statements to identify boundaries and define patterns in the data
- Overfitting happens when some boundaries are based on on distinctions that don't make a difference. You can see if a model overfits by having test data flow through the model.
(Photo from R2D3)