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): | Dr Rolf Schwitter, Dr Jia Wu |
| Prerequisites: |
Admission to MRes |
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| 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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