Machine Learning (COMP7703)
Information valid for Semester 1, 2025
Course level
Postgraduate Coursework
Faculty
Engineering, Architecture & Information Technology
School
Elec Engineering, Comp Science
Units
2
Duration
One Semester
Attendance mode
In Person
Class hours
Lecture 2 Hours/ Week
Practical 2 Hours/ Week
Incompatible
COGS4021 or COGS7021 or COMP3700 or COMP4702 or ELEC4700 or ELEC7701
Prerequisite
CSSE7030 and MATH7501 and STAT7203
Recommended prerequisite
COMP3702 or COMP7702
Assessment methods
Written examination, assignments
Course enquiries
Associate Professor Marcus Gallagher ()
Study Abroad
This course is pre-approved for Study Abroad and Exchange students.
Current course offerings
| Course offerings | Location | Mode | Course Profile |
| Semester 1, 2025 (24/02/2025 - 21/06/2025) | 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 and 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) and theory, neural networks, statistical & probabilistic models, clustering, ensembles, implementation issues, applications (e.g. bioinformatics, cognitive science, forecasting, robotics, signal and image processing).
