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Unit of study_

Machine Learning and Data Mining - COMP5318

Year - 2018

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.

Classes
Lectures, Tutorials

Assessment
Through semester assessment (50%) and Final Exam (50%)

Assumed knowledge
INFO2110 OR ISYS2110 OR COMP9120 OR COMP5138

Details

Faculty: Engineering and Information Technologies

Semester 1

05 Mar 2018

Department/School: Information Technologies
Study Mode: Normal (lecture/lab/tutorial) day
Census Date: 31 Mar 2018
Unit of study level: Postgraduate
Credit points: 6.0
EFTSL: 0.125
Available for study abroad and exchange: Yes
Faculty/department permission required? Yes
Location
Camperdown
Faculty: Engineering and Information Technologies

Semester 2

30 Jul 2018

Department/School: Information Technologies
Study Mode: Normal (lecture/lab/tutorial) day
Census Date: 31 Aug 2018
Unit of study level: Postgraduate
Credit points: 6.0
EFTSL: 0.125
Available for study abroad and exchange: Yes
Faculty/department permission required? Yes
Location
Camperdown
Courses that offer this unit

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