Machine Learning and Pattern Recognition (MLPR), Autumn 2020

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.

Welcome video for those starting/considering the class (no machine learning is discussed). Prospective students should work through the background material and self-test in the class notes.

That's the end of the course! Please fill out the course survey via the Have your Say section on Learn.

Main logistics

Lecturers: Iain Murray and Arno Onken.

Key dates: see the Assessment page.

Lectures: There are no live lectures this year (please ignore any in the timetable). Shorter videos will appear through the Notes. The notes ask you questions, and you can ask questions using the Hypothesis Forum.

Activities: Scheduled discussions with tutors start in week 3. Ignore the tutorials in the timetable; we will work out a schedule once we know who is taking the class. The Activities page will give other opportunities for ad-hoc meetings with staff and students.

Auditing the class: The notes will all be openly available on this website. Only those taking the class for credit can take part in assessed activities and get work marked.

Other pages on this site:

The above links are available at the top of every page.


Archive of all news.

Other webpages:

MLPR’s DRPS catalogue page.

MLPR’s 2020/21 LEARN page.