Machine Learning for Data Scientists (DATA7703)
Course level
Postgraduate Coursework
Faculty
Engineering, Architecture & Information Technology
Schools
Elec Engineering, Comp Science, Mathematics & Physics School
Units
2
Duration
One Semester
Class hours
Lecture 2 Hours/ Week
Practical 1 Hour/ Week
Tutorial 1 Hour/ Week
Incompatible
COMP4702 or COMP7703
Prerequisite
CSSE7030 and MATH7501 and STAT7203
Restricted
Restricted to MDataSc students only.
Assessment methods
Written examination, assignments
Course enquiries
A/Prof Marcus Gallagher (marcusg@itee.uq.edu.au)
Current course offerings
| Course offerings | Location | Mode | Course Profile |
| Semester 2, 2024 (22/07/2024 - 18/11/2024) | 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) & theory, neural networks, statistical & probabilistic models, clustering, ensembles, implementation issues, applications (e.g. bioinformatics, cognitive science, forecasting, robotics, signal & image processing).
