SDSC5001 - Statistical Machine Learning I

Offering Academic Unit
School of Data Science
Credit Units
Course Duration
One Semester
Course Offering Term*:
Semester A 2023/24

* The offering term is subject to change without prior notice
Course Aims

This course focuses on the theoretical foundation and fundamental methods in statistical machine learning, covering the key concepts and results of the probability theory and statistical inference for machine learning, classical and cutting-edge methods and theories for regression and classification, and theoretical foundation of kernel methods.

Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 50%
Examination: 50%
Examination Duration: 2 hours
Detailed Course Information


Useful Links

School of Data Science