COMPSCI 256
Systems and Machine Learning
Course is divided into two parts. The first half covers recent research in systems for machine learning (ML) that enabled rapid progress in ML/AI. The second half revolves around application of machine learning in systems.
Prerequisites & course information
Course is divided into two parts. The first half covers recent research in systems for machine learning (ML) that enabled rapid progress in ML/AI. The second half revolves around application of machine learning in systems.
Sources
- Course catalogue ↗2026-2027