TECH 3832 MACHINE LEARNING PRINCIPLES
This course introduces traditional Machine Learning (ML) algorithms, covering supervised, unsupervised, and reinforcement learning, feature selection and management, and model evaluation. Practical applications of these algorithms to real-world scenarios are explored throughout the course.
Prerequisite
CPS*2232 or CPS*2240 and CPS*2800 (for IT majors) or CPS*2800 (for non-majors); Not open to CS or AI majors