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.
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)
If you want to ‘audit’ the class (take it not for credit), please check back here for an update, and don't contact us before September. The notes will all be openly available here. Only those taking the class for credit can take part in assessed activities and get work marked.
There are links to each of these sections at the top of every page.
MLPR’s DRPS catalogue page.
MLPR’s 2020/21 LEARN page.
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