This course is focused on the implementation and evaluation of machine learning systems, and is lab-based. Students who do this course will obtain experience in the design, implementation, training, and evaluation of machine learning systems.
Semester one comprises lectures, labs, and individual coursework. Semester two is based around small group projects, and also includes tutorials and guest lectures.
By the end of the course, students should be able to do the following:
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SCQF Level: 11
Credits: 20