SDSC8003 - Machine Learning

Offering Academic Unit
School of Data Science
Credit Units
Course Duration
One Semester
Course Offering Term*:
Semester A 2021/22

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

This course provides students with an extensive exposure to machine learning. Topics include theory of uniform convergence, generalization analysis of learning algorithms for regression and classification, kernel methods, analysis of online learning and distributed learning, and some unsupervised learning methods such as clustering and dimensionality reduction.

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

Continuous Assessment: 40%
Examination: 60%
Examination Duration: 2 hours
Detailed Course Information


Useful Links

School of Data Science