Machine Learning (COMP4702)
Information valid for Semester 1, 2017
Course level
Undergraduate
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
COGS4021 or COMP3700 or COMP7703 or ELEC4700 or ELEC7701
Prerequisite
MATH1051
Recommended prerequisite
COMP3702
Assessment methods
Written examination, assignments
Course enquiries
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 | Course Profile |
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).
