CS 445. Machine Learning

Credits 3.00 PeopleSoft Course ID 014236 Grading Basis GRD

An introduction to the field of machine learning. Explores key problems and algorithms in machine learning from both a theoretical and an applied perspective. Specific topics include supervised and unsupervised learning, anomaly detection, text mining and experimental design. Students who have completed BSAN 393, ISAT 341 and MATH 358 may also take this course. Prerequisite(s): Fully admitted Computer Science majors or minors only and a grade of “C-” or better in CS 327 and one of the following: MATH 318 , MATH 220 or MATH 229 .