Design, implement and analyze machine learning algorithms, including supervised learning and unsupervised learning algorithms. Methods to address uncertainty. Projects with real-world data.
Prerequisites: CPSC 335, MATH 338; Computer Science or Computer Engineering major or minor; or Computer Science or Computer engineering graduate standing.
400-level Undergraduate Course available for Graduate Credit
