• Total units 24 Units
  • Areas of interest Artifical Intelligence
  • Specialisation code MCHL-SPEC
  • Academic career Postgraduate
  • Academic Contact Jochen Renz

The Machine Learning specialisation offers a deep insight into the world of machine learning and its current frontiers. Students will learn about machine learning, intelligent agents (reinforcement learning, information-theoretic foundations), and bio-inspired computing (neural networks, and evolutionary algorithms).

Learning Outcomes

  1. demonstrate a solid understanding of a variety of Machine Learning approaches.
  2. formalise real-world problems and select the most appropriate Machine Learning method to solve such a problem.
  3. implement Machine Learning algorithms and design and carry out empirical evaluations
  4. compare and critique all state-of-the-art Machine Learning approaches.
  5. understand the interaction of current industry trends and the state-of-the-art Machine Learning approaches.
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This Specialization requires the completion of 24 units from the following list which must include:

A minimum of 12 units of 8000-level courses.

COMP6261 Information Theory

COMP6490 Document Analysis

COMP6528 Computer Vision

COMP6670 Introduction to Machine Learning

COMP8420 Neural Networks, Deep Learning and Bio-inspired Computing

COMP8600 Statistical Machine Learning

COMP8650 Advanced Topics in Machine Learning

COMP8880 Computational Methods for Network Science

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