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 evaluation
- Compare and critique all state-of-the-art Machine Learning approaches
Other Information
This Specialisation is incompatible with the Computing and Mathematical Foundations minor; Intelligent Systems major; and Advanced Intelligent Systems major.
Relevant Degrees
Requirements
This specialisation requires the completion of 24 units from the following list, which must include:
A minimum of 12 units at 4000 level
COMP3670 Introduction to Machine Learning
COMP4528 Computer Vision
COMP4650 Document Analysis
COMP4660 Neural Networks, Deep Learning and Bio-inspired Computing
COMP4670 Statistical Machine Learning
COMP4680 Advanced Topics in Machine Learning
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