IAI 5100 Foundations and Applications of Machine Learning
3 units
Interdisciplinary Artificial Intelligence
Faculty of Engineering
The capabilities and limitations of machine learning; problem formulation; supervised and unsupervised learning techniques; deploying, monitoring, and evaluating machine learning models; storytelling and assessing the results of learning; current advances in application areas such as business, law, arts, social sciences and education. Recommended prerequisite: Aptitude for analytics. Although no specific programming background is required, students should be comfortable with computing technologies.
Components:
Lecture
No grade data.