Supervised machine learning involves:

programmers supervising the machine learning program.

training a neural network to identify digital photos of cars or other objects in a very large dataset, with humans assessing whether the machine is correct or incorrect.

programs that identify cats $($or other objects$)$ without human intervention.

complex computer programs that decide what they want to learn.