COMP8650 Advanced Topics in Statistical Machine Learning
COMP8650 is only available under certain award programs.
| Offered By | Department of Computer Science |
|---|---|
| Academic Career | Graduate Coursework |
| Course Subject | Computer Science |
| Offered in | COMP8650 will not be offered in 2009 |
| Unit Value | 6 units |
| Course Description |
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 - graphical models - reinforcement learning - convex analysis - optimisation - bioinformatics - minimal description length principle - topics in information theory - decision theory |
| Course Classification(s) | AdvancedAdvanced courses are designed for students having reached 'first degree' level of assumed knowledge, which provide a deep understanding of contemporary issues; or 'second degree' and higher levels of knowledge; or for transition to research training programs. and SpecialistSpecialist courses are designed for students having reached 'first degree' level of assumed knowledge, which provide for the acquisition of specialist skills; or 'second degree' and higher level of knowledge; or for transition to research training programs; or knowledge associated with professional accreditation. |
| Areas of Interest | Computer Science |
| Requisite Statement |
Permission required from Program Convenor |
The information published on the Study at ANU 2009 website applies to the 2009 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2008 website.
