Explore advanced aspects of data mining including regression, classification, and clustering; probabilistic models; latent variable models; Bayesian inference; and confidence estimation. Three lecture hours a week for one semester. Prerequisite: Upper-division standing and Computer Science 363D with a grade of at least C-.
Program:
Undergraduate Program
Division:
Electives