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Data Science and Machine Learning - COMP783

This unit introduces the core methods of machine learning and data science for the analysis of both structured and unstructured data. We will learn to use methods for classification, regression, clustering and dimensionality reduction, and will apply them to both numerical and text data. We will also introduce methods for the analysis of "big data" collections, as well as specialised methods for the analysis of sequential data.

Credit Points: 4
When Offered:

S1 Day - Session 1, North Ryde, Day

Staff Contact(s): Computing staff

Admission to MRes Prerequisite Information


Unit Designation(s):
Assessed As: Graded
Offered By:

Department of Computing

Faculty of Science and Engineering

Course structures, including unit offerings, are subject to change.
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