CAP 4612 - Machine Learning

Credits: 3

Prerequisites: STA 2023 - Statistics 1; MAS 3114 - Computational Linear Algebra OR MAS 3105 Linear Algebra;

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.