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27 Jan 2023: Students and Postdocs:. and Older News..

19 Nov 2023: There is no final exam. Time: Friday 2pm to 4pm. Location: NEW LT2 (weeks 7-8 in LT0 ) (Inglis Building), Department of Engineering, Trumpington Street (map). ... 25th Nov in LR5, 3pm-4pm. NEWS: We now have an FAQ site!

27 Jan 2023: Various new local phase-based signal processing methods are being developed to achieve this within acceptable levels of computational complexity.

27 Jan 2023: Machine Learning 2006 Course Web Page. Keywords: Machine learning, probabilistic modelling, graphical models, approximate inference, Bayesian statistics. For a summary of the topics covered in this module you can read the following chapter:.

19 Nov 2023: Machine Learning 4f13 Lent 2008. Keywords: Machine learning, probabilistic modelling, graphical models, approximate inference, Bayesian statistics. Taught By: Zoubin Ghahramani and Carl Edward Rasmussen. Code and Term: 4F13 Lent term. Year: 4th year

27 Jan 2023: 10/07: We have launched the Cognitive Systems Engineering website. 10/07: New PhD students: Finale Doshi, Jurgen van Gael, Shakir Mohamed. ... 9/06: I'm teaching a new course on Machine Learning (4F13), this Michaelmas term (Fall 2006) at Cambridge.

19 Nov 2023: Machine Learning 4f13 Lent 2009. Keywords: Machine learning, probabilistic modelling, graphical models, approximate inference, Bayesian statistics. Taught By: Zoubin Ghahramani and Carl Edward Rasmussen. Code and Term: 4F13 Lent term. Year: 4th year

27 Jan 2023: NEW: due Thurs Oct 23). Suggested Readings:. of Basic Maths Needed for Machine Learning.

19 Nov 2023: We have now changed our convention (in the module slides and in the new version of the databook) to be more in line with the rest of the world.

27 Jan 2023: Building blocks of movement (News & Views, on Thoroughman and Shadmehr article).