Sessional Lecturer, INF2205H - Designing Sustainable and Resilient Machine Learning Systems

University of Toronto
Faculty of Information

Sessional Lecturer

Winter Term 2027 ( January 2027 - April 2027 )

Decision-makers in modern organizations rely on machine learning systems to infer insights from information by analyzing meaningful patterns in the connections and associations within data. Leaders in many sectors of our economy and society utilize these systems to support evidence-informed decision-making using techniques such as regression, classification, clustering, and collaborative filtering. This course, INF2205H, examines state of the art techniques and technologies related to MLOps (Machine Learning Operations). MLOps refers to the application of continuous delivery and continuous integration (CI/CD) principles and practices for designing sustainable and resilient machine learning systems. MLOps helps designers of mach...