[youtube]http://youtu.be/miw2CiKp1r0[/youtube]
Lecture 19: More Optimization and Clustering
This lecture continues to discuss optimization in the context of the knapsack problem, and talks about the difference between greedy approaches and optimal approaches. It then moves on to discuss supervised and unsupervised machine learning optimization problems. Most of the time is spent on clustering.
