Tuesdays & Thursdays 2:00pm-3:30pm.
Location: Tu. MCML 256, Th. FSC 1001.
Start date: Tuesday 10th September
This is a stantard introductory course to machine learning. It
combines probabilistic modelling with statistical inference, optimisation and
lots of interesting applications to computer graphics, bio-informatics,
information retrieval, digital databases, vision, robotics and AI.
The pre-requisites are linear algebra and calculus. Students will
be examined with homework assignments and research projects. The projects
will favour students with good theoretical skills and/or students with good