CAP 4612 - Machine Learning

Credits: 3

Prerequisites: (STA 2023 - Statistics 1 or STA 3032 - Probability and Statistics) and (MAS 3114 - Computational Linear Algebra or MAS 3105 - Linear Algebra) and (COP 3530 - Data Structures & Algorithms or (COP 4415 - Data Structures and COP 4531 - Algorithm Design & Analysis))
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.