AI Anyone Can Understand: Part 11 -- K-Nearest Neighbors Algorithm

Imagine you want to know what kind of toy a new toy is, but you don't know what it is. You could ask your friends who have a lot of toys what they think it is. You would pick the toys that look most like the new toy and ask your friends what they think it is. Whatever most of your friends say the toy is, that's probably what it is. That's like how k-nearest neighbors works, it looks at the things that are most similar to the thing you want to know about and figures out what it is.