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DSC4016 - Fundamentals of Machine Learning II

Offering Academic Unit
Department of Data Science
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
Equivalent Course(s)
SDSC4016
Course Offering Term*:
Semester B 2026/27

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

This elective course provides students who have the basic foundations of machine learning with an intensive studies of advanced machine learning and deep learning techniques for data science. Topics include traditional machine learning models, deep learning techniques and other related methods.


Assessment (Indicative only, please check the detailed course information)
Continuous Assessment: 80%
Examination: 20%
Min. Continuous Assessment Passing Requirement: 30%
Min. Examination Passing Requirement: 30%
 
Detailed Course Information
DSC4016.pdf