Machine learning is about developing algorithms that adapt their behaviour to data, to provide useful representations or make predictions. This course is for those wanting to research and develop machine learning methods in future. Those who want a more practical course, focussing more on using methods, should consider taking IAML (MSc INFR11182; UG INFR10069) instead. Informatics’ MSc handbook has more advice on choosing machine learning courses.
Please work through the background material and self-test in the class notes.
Many students would be better served by a more practical course. Please seriously consider the alternative: IAML (MSc INFR11182; UG INFR10069)
Lecturers: Iain Murray and
Lectures: Tuesday, Wednesday, Thursday 9:00–9:50am.
George Square Theatre, the Gordon Aikman Lecture Theatre
Expected lecture dates: 2019-09-17 to 2019-11-21.
Exam diet: December (more info).
If you want to ‘audit’ the class (take it not for credit), please watch the lecture recordings in the first week or two, while numbers attending the class are often inflated. Please also get your School to register you, following Informatics's auditing rules.
2019-05-15: Started web-pages for 2019/20 session. Tutorials will start in week 3, you should be assigned a group after you have registered for the class through your School.
There are links to each of these sections at the top of every page.
MLPR’s DRPS catalogue page.
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