STOR 565 -- Machine Learning (Spring 2026)
STOR 565 -- Machine Learning (Spring 2026)
Overview
This course trains students to analyze, implement, and critically evaluate statistical machine learning (ML) methods. By the end of the course, students should be equipped to independently learn and evaluate new ML advances and emerging AI techniques.
Logistics
- Semester: Spring 2026
- Time: Mon/Wed/Fri 5:45 – 6:35 PM
- Location: Hanes 120