COURSE

DSAA4012

Machine Learning Systems

Information Hub / Data Science and Analytics · 3 Credits

This course introduces basics on machine learning systems. Students will study efficient machine learning systems for training and inference, and general design principles. The general issues including privacy, security and fairness of machine learning systems are also covered in this course. The course also aims to discuss machine learning for general systems, and how to design efficient machine learning systems by parallelism and distributed computing.