Machine Learning (DATA7703)
Information valid for Semester 1, 2019
Course level
Postgraduate Coursework
Faculty
Engineering, Architecture & Information Technology
School
Info Tech & Elec Engineering
Units
2
Duration
One Semester
Delivery mode
Internal
Class hours
2 Lecture hours
3 Contact hours
Incompatible
COMP4702 or COMP7703
Prerequisite
CSSE7030 and MATH7501 and STAT7203
Restricted
Restricted to MDataSc students only
Assessment methods
Written examination, assignments
Course enquiries
Current course offerings
Course offerings | Location | Mode | Course Profile |
Semester 2, 2025 (28/07/2025 - 22/11/2025) | St Lucia | In Person | Profile unavailable |
Please Note: Course profiles marked as not available may still be in development.
Course description
Machine learning is a branch of artificial intelligence concerned with the development & application of adaptive algorithms that use example data or previous experience to solve a given problem. Topics include: learning problems (e.g regression, classification, unsupervised, reinforcement) & theory, neural networks, statistical & probabilistic models, clustering, ensembles, implementation issues, applications (e.g. bioinformatics, cognitive science, forecasting, robotics, signal & image processing).