Machine Learning

4 credits

A graduate level course in machine learning algorithms: decision trees, principal component analysis, k-means, clustering, logistic regression, random forests, boosting, neural networks, kernel methods, deep learning. Prerequisites: DSC 210 and DSC 212. Restricted to students within the DSC-MS-001 and DSC-PhD-001 major.