The Machine Learning specialisation offers a deep insight into the world of machine learning and its current frontiers. Students will learn about machine learning and intelligent agents (reinforcement learning, information-theoretic foundations).
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, which must consist of a minimum of 12 units of 4000-level courses.
24 units from completion of courses from the list:
COMP3670 Introduction to Machine Learning
COMP4528 Computer Vision
COMP4650 Document Analysis
COMP4670 Statistical Machine Learning
COMP4680 Advanced Topics in Machine Learning
This Specialisation is incompatible with the Intelligent Systems major, and the Advanced Intelligent Systems major.
This specialisation is only available to students studying BAC (AACOM) and BACR&D (AACRD).
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