• Total units 24 Units
  • Specialisation code MCHL-SPEC
  • Academic career Postgraduate

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

Upon successful completion, students will have the knowledge and skills to:
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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Admission Requirements

Not Applicable

Requirements

This Specialization requires the completion of 24 units from the following list:

COMP6670 Introduction to Machine Learning

COMP8420 Bio-inspired Computing: Applications and Interfaces

COMP6490 Document Analysis

COMP8600 Statistical Machine Learning

COMP8650 Advanced Topics in Machine Learning

ENGN6528 Computer Vision

 

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