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):||Prerequisite papers: Either COMP316 or COMP321, and a further 40 points at 300 level in Computer Science|
|Internal assessment / examination:||100:0|
Semesters and Locations
|Occurrence Code||When taught||Where taught|
|18A (HAM)||A Semester : 26 Feb 2018 - 24 Jun 2018||Hamilton|
Timetabled Lectures for Machine Learning Algorithms (COMP521)
|Tue||10:00 AM||11:00 AM||G.1.15||Feb 26 - Jun 3|
|Fri||1:00 PM||2:00 PM||G.1.15||Feb 26 - Jun 3|
NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for COMP521 for more details
Indicative Fees for Machine Learning Algorithms (COMP521)
Paper Outlines for Machine Learning Algorithms (COMP521)
The following paper outlines are available for Machine Learning Algorithms (COMP521).
If your paper occurrence is not listed contact the Faculty or School office.
Other available years: Machine Learning Algorithms - COMP521 (2017)
Paper details current as of : 19 July 2018 11:44am
Indicative fees current as of : 5 June 2018 4:30am