Note: More information will become available after 2020-12-31

COMP5318: Machine Learning and Data Mining (2020 - Semester 1)

Unit: COMP5318: Machine Learning and Data Mining (6 CP)
Mode: Normal-Evening
On Offer: Yes
Level: Postgraduate
Faculty/School: School of Computer Science
Unit Coordinator/s: A/Prof Koprinska, Irena
Session options: Semester 1, Semester 2
Versions for this Unit:
Site(s) for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: None.
Brief Handbook Description: Machine learning is the process of automatically building mathematical models that explain and generalise datasets. It integrates elements of statistics and algorithm development into the same discipline. Data mining is a discipline within knowledge discovery that seeks to facilitate the exploration and analysis of large quantities for data, by automatic and semiautomatic means. This subject provides a practical and technical introduction to machine learning and data mining.

Topics to be covered include problems of discovering patterns in the data, classification, regression, feature extraction and data visualisation. Also covered are analysis, comparison and usage of various types of machine learning techniques and statistical techniques. The course requires that students have basic linear algebra and probability theory background and are competent at programming in a high level language (such as Python, Matlab or R).
Assumed Knowledge: INFO2110 OR ISYS2110 OR COMP9120 OR COMP5138.
Department Permission Department permission is required for enrollment in this session.