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
- demonstrate a solid understanding of a variety of Machine Learning approaches.
- formalise real-world problems and select the most appropriate Machine Learning method to solve such a problem.
- implement Machine Learning algorithms and design and carry out empirical evaluations
- compare and critique all state-of-the-art Machine Learning approaches.
- understand the interaction of current industry trends and the state-of-the-art Machine Learning approaches.
Relevant Degrees
Requirements
This Specialisation 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
COMP8600 Statistical Machine Learning
COMP8650 Advanced Topics in Machine Learning
COMP8880 Computational Methods for Network Science
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