Welcome! 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 IAML.
Prospective students: This page has not yet been updated for the 2018/19 session, but the course will be similar. Please check that you have the required pre-requisites before taking this course. See the background material and self-test in the class notes.
Lecturer: Iain Murray
Lectures: Monday, Wednesday, Thursday 12:10–1pm, Lecture Hall B, DHT Lecture Theatres
Duplicate lectures: Not running from week 5 onwards. Mon 1:10–2pm DHT LTB, Wed 3:10–4pm AT LT1, Thu 1:10–2pm DHT LTB.
Office Hour: Tuesdays 4:15pm–, Appleton Tower cafe area. Last one 28 Nov.
Lecture dates: 2017-09-18 to 2017-11-23.
Exam diet: December (more info).
Information on auditing the class, or taking it not for credit.
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