CAP 4612 - Machine Learning

Credits: 3

Course Description: An overview of machine learning algorithms and their applications. Topics covered include: supervised and unsupervised learning, clustering and classification, linear and logistic regression, dimensionality reduction, support vector machines, anomaly detection.
Prerequisites: (COP 2080 - Computation Problem Solving in Python or COP 3337 - Object Oriented Programming) and STA 2023 - Statistics 1 and MAS 3114 - Computational Linear Algebra