CS5487 - Machine Learning: Principles and Practice

Offering Academic Unit
Department of Computer Science
Credit Units
Course Duration
One semester
CS3334 and (MA2176 or MA2170 or MA2172)
Course Offering Term*:
Semester A 2018/19

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

The goal of this course is for students to learn the fundamental knowledge needed to design machine learning algorithms.  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 with a focus on fundamental design, derivation, and implementation of machine learning algorithms.  At the end of the course, students will have fundamental knowledge needed to design and implement new machine learning algorithms from first principles.

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