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DSC5001 - Statistical Machine Learning I

Offering Academic Unit
Department of Data Science
Credit Units
3
Course Duration
One Semester
Equivalent Course(s)
SDSC5001 Statistical Machine Learning I
Course Offering Term*:
Semester A 2026/27

* 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 of the probability theory and statistical inference for machine learning, classical and cutting-edge methods and theories for regression and classification, and popular methods for unsupervised learning.


Assessment (Indicative only, please check the detailed course information)
Continuous Assessment: 50%
Examination: 50%
Examination Duration: 2 hours
Min. Examination Passing Requirement: 30%
 
Detailed Course Information
DSC5001.pdf