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.
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 Specialization requires the completion of 24 units from the following list:
COMP3670 - Intro to Machine Learning
COMP4650 - Document Analysis
COMP4660 - Neural Networks, Deep Learning
COMP4670 - Statistical Machine Learning
COMP4680 - Adv Topics in Machine Learning
ENGN4528 - Computer Vision
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