University of Technology Sydney

31005 Machine Learning

6cp; 2hpw online lecture
Requisite(s): (31250 Introduction to Data Analytics AND (48024 Programming 2 OR 41091 Data Systems))
Recommended studies: knowledge of database technologies



Machine learning is an exciting field studying of how intelligent agents can learn from and adapt to experience and how to realise such capacity on digital computers. It is applied in many fields of business, industry and science to discover new information and knowledge. At the heart of machine learning are the knowledge discovery algorithms. This subject builds on previous data analytics subjects to give an understanding of how both basic and more powerful algorithms work. It consists of both hands-on practice and fundamental theories. Students learn important techniques in the field by implementation and theoretical analysis. The subject also introduces practical applications of machine learning, especially in the field of artificial intelligence.

Typical availability

Spring session, City campus

This subject is also available in Shanghai to offshore students only

Detailed subject description.

Access conditions

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