For the midterm, I'd posted typed out notes, which helped me study for the exam. Some people found it useful, and I found it incredibly helpful to get their comments on concepts which I misunderstood in return. Here are my notes so far for the final - hope it helps again, and your feedback would be invaluable.
ML - Final PrepClustering One of the classic unsupervised problems is clustering; the idea that items can be put into groups by how similar they are Single Linkage Clustering Consider each of n object a cluster to start Define distance (i.e. distance between two closest points in two clusters) merge two closes
Add a comment...