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Machine Learning and Pattern Recognition (MLPR), Autumn 2017

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.

This is an archive of a previous version of the course: Please go to the 2018/19 session.

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).

News

2017-11-21: The University's course surveys are open. Please name your tutor if you have feedback about them.

Archive of older news.

Course materials

• Notes: background preparation, lecture notes, readings.
• Log: recordings and scans from the lectures themselves.
• Forum: collaboratively annotate and query any of the class materials.
• Tutorials: exercises for discussion in groups, weeks 3–9
• Assignments: more extensive exercise and assessed coursework.
• FAQ: Frequently Asked Questions.

MLPR catalogue pages: DRPS, Informatics.

Information on auditing the class, or taking it not for credit.