CS5489 - Machine Learning: Algorithms and Applications

Offering Academic Unit
Department of Computer 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

The goal of this course is to introduce students to the field of machine learning, its algorithms and applications.  Machine learning algorithms allow computers to automatically learn to recognize complex patterns from empirical data, such as text and web documents, images, videos, sound, sensor-data, and databases.  This course is intended to give a broad overview of machine learning from the practical standpoint, with a focus on implementing and applying machine learning algorithms to real-world problems.  At the end of the course, students will have both working knowledge of and practical experience implementing and applying machine learning algorithms on different domains.

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

Continuous Assessment: 70%
Examination: 30%
Examination Duration: 2 hours
Detailed Course Information


Useful Links

Department of Computer Science