[CPSC 340] k-Nearest Neighbours

Camera operated by Tanner Johnson. Content based on original course materials created by Mark Schmidt.

0:00 fundamentals recap
7:00 optimization bias
18:15 cross-validation
27:10 no free lunch theorem
29:50 k-nearest neighbours
35:30 curse of dimensionality
39:15 k-NN implementation
40:10 parametric vs. non-parametric
43:10 norms
45:45 decision boundary plots