COMP8650 Advanced Topics in Machine Learning
S16 units8000-level
This course explores a selected area relevant to statistical machine learning in depth, and will be taught by an SML staff member of internationally recognised standing and research interest in that area. Based on current SML staffing, this will be one of: kernel methods structured probabilistic models reinforcement learning convex analysis and optimisation topics in information theory decision theory deep learning differentiable optimisation in deep learning Over the past several years the content has alternated between “convex analysis and optimisation” and “differentiable optimisation in deep learning". Students should contact the course convenor to find out what topic is planned for the coming semester.
- 2024S2
- 2025S2
- 2026S1
- 2027S1
Prerequisites in 2026
Read automatically from the handbook's wording
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The handbook's wording, and when it changed
To enrol in this course you must have completed: COMP6670 or COMP3670 or COMP8600 or COMP4670 Incompatible with COMP4680 .
To enrol in this course you must have completed COMP6670 Introduction to Machine Learning or COMP8600 Statistical Machine Learning. Additional Prerequisite courses for the Advanced Topic will be listed on the SoCo website (Special Topics in Computing page ) when the course topic is announced. Students who meet the pre-requisites can request a permission code following the instructions for Enrolling in CECC courses.
What it leads to in 2026
No course names COMP8650 in its 2026 prerequisites.