This paper exposes students to more advanced topics in machine learning. Rule induction, numeric prediction, clustering and state-of-the-art ensemble learning methods are among the topics covered.
|Prerequisite(s):||COMPX305 or COMPX310 or COMP316 or COMP321 and a further 30 points at 300 level in Computer Science|
|Internal assessment / examination:||100:0|
Trimesters and Locations
|Occurrence Code||When taught||Where taught|
|20A (HAM)||A Trimester : 2 Mar 2020 - 28 Jun 2020||Hamilton|
Timetabled Lectures for Advanced Machine Learning (COMPX521)
|Tue||1:00 PM||2:00 PM||S.G.02||Mar 2 - Jun 7|
|Fri||1:00 PM||2:00 PM||I.1.05||Mar 2 - Jun 7|
NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for COMPX521 for more details
Indicative Fees for Advanced Machine Learning (COMPX521)
Paper Outlines for Advanced Machine Learning (COMPX521)
The following paper outlines are available for Advanced Machine Learning (COMPX521).
If your paper occurrence is not listed contact the Faculty or School office.
Other available years: Advanced Machine Learning - COMPX521 (2019)
Paper details current as of : 2 April 2020 10:01am
Indicative fees current as of : 31 January 2020 4:26pm