CAP 5610 - Machine Learning Theory and Practice

Course Level
“Graduate”Credits: 3

Course Description: THIS COURSE INTRODUCES THE STUDENTS TO THE THEORY AND PRACTICE OF MACHINE LEARNING. THE COURSE PROVIDES THE THEORY OF THIS DATA-DRIVEN PROCESS TO CONSTRUCT THE MATHEMATICAL MODELS AND USE THOSE MODELS IN PERFORMING DATA EVALUATION, CLASSIFICATION, PATTERN RECOGNITION, DETECTION, AND PREDICTION BASED ON THE OBSERVED DATA. ALSO, IT INTRODUCES THE STUDENTS TO THE METHODS OF FEATURES SELECTION AND DATA WRANGLING.
Prerequisites: Graduate Standing
Primary Term
“Fall” Year Rotation
“Annually”