Programs and Courses
Source: https://programsandcourses.anu.edu.au/specialisation/MACL-SPEC Parent: https://programsandcourses.anu.edu.au/program/AACOM
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Total units 24 Units
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Areas of interest Intelligent Systems, Artifical Intelligence
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Specialisation code MACL-SPEC
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Academic career Undergraduate
- Academic Contact Jochen Renz
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Machine Learning Specialisation
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
- Bachelor of Advanced Computing (Honours) (AACOM)
- Bachelor of Advanced Computing (Research and Development) (Honours) (AACRD)
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
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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).