Using K Nearest Neighbors in Machine Learning

The style of learning is called lazy learning. The idea here is that we don't spend any time drawing lines or doing decision boundaries. This works with a small amount of data, but doesn't really it starts to have problems as we get into higher levels of data. We talked about this within the curse of dimensionality more dimensions, more data, more problems.