A Crash Course In Machine Learning:

Machine Learning can be split into to two categories: Supervised and Unsupervised learning. Supervised learning is when a model is trained on labelled data: This means clear input data and "solutions" for the data. Supervised learning can be split into two types: Classification and Regression. Classification is trying to identify the class that a piece of data belongs to, Regression is drawing a best-fit line in the data that can "catch" as many points as possible. An example of supervised learning is predicting if a human is male or female based on the measurements of the body.