# Chapter 10: K-nearest neighbors

KNN—classification and regression:

* Classification = categorization into a group
* Regression = predicting a response (like a number)

**Cosine similarity**

* Cosine similarity doesn’t measure the distance between two vectors.
* Instead, it compares the angles of the two vectors.
