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Machine Learning Course (4F13)

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If you have a question about this talk, please contact Zoubin Ghahramani .

4F13 course - repeats Wed, Thurs at 10am during Lent

This is the machine learning module taught by Zoubin Ghahramani and Carl Rasmussen. The main audience is 4th year (MEng) students in Engineering, PhD students, and others interested in learning about Machine Learning. Topics covered include Unsupervised Learning, Bayesian Methods, Graphical Models, Monte Carlo Methods, Variational Approximations, Model Comparison and Reinforcement Learning. More details at:

http://mlg.eng.cam.ac.uk/teaching/4f13/

This course is open to anyone wishing to attend, subject to space constraints.

This talk is part of the Machine Learning @ CUED series.

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MR11 (B1.39), CMS Pavilion B Pavilion B, MR11 The Moller Centre, Storey's Way, Cambridge

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