Overview
Topic availabilities
Tuition pattern
Aims
This topic aims to provide a theoretical and practical introduction to the development and application of Machine Learning (ML) and Deep Learning (DL) systems. Students will understand the architectures and principles behind selected ML/DL models and gain hands-on experience in employing ML and DL techniques towards solving practical problems in a variety of domains. The scope of the topic incorporates increasingly relevant applications such as computer vision, image analysis, data science and the ethical issues associated with these. Students will also obtain skills in analytical thinking, experimental research, and effective communication within the wider context of ML.
Learning outcomes
Assessments
Current students should refer to FLO for detailed assessment information, including due dates. Assessment information is accurate at the time of publishing.
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