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|
Semesters and Locations
|Occurrence Code||When taught||Where taught|
|20A (HAM)||A Semester : 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)
The following 2019 paper outlines are available for COMPX521. Please contact the Faculty or School office for details on 2020 outlines.
Other available years: Advanced Machine Learning - COMPX521 (2019)
Paper details current as of : 4 December 2019 8:42am
Indicative fees current as of : 12 November 2019 11:10am