Machine Learning Group

Machine learning is a multidisciplinary field of research focusing on the mathematical foundations and practical applications of systems that learn, reason and act. Machine learning underpins many modern technologies, such as speech recognition, robotics, internet search, bioinformatics, and more generally the analysis and modelling of large complex data. Machine learning makes extensive use of computational and statistical methods, and takes inspiration from biological learning systems.

Machine Learning and Bayesian Statistics in other Groups

Inference group @ Cavendish Lab

David MacKay

Machine Learning and Perception Group @ Microsoft Research Cambridge

Chris Bishop | Thore Graepel | Ralf Herbrich | Tom Minka | Joaquin Quiñonero-Candela | Martin Szummer

Statistical Laboratory

Phil Dawid | Bobby Gramacy | Richard Samworth | David Spiegelhalter

Computer Lab

Sean Holden

Signal Processing and Communications @ CUED

Bill Fitzgerald | Simon Godsill | Sumeetpal Singh

Events

The 2009 Machine Learning Summer School was held in Cambridge on August 29th - September 10th.
Machine Learning Reading Group @ CUED
Machine Learning Seminar Group
Advanced Tutorial Lecture Series on Machine Learning
Non-Parametric Bayes Tutorial Course (October 9, 16 and 28, 2008)

Courses

3F3: Signal and Pattern Processing
4F10: Statistical Pattern Processing (Michaelmas term) by Mark Gales, handouts (local access only)
4F13: Machine Learning (Lent term) by Zoubin Ghahramani and Carl Edward Rasmussen

Admissions

PhD applicants should have a very strong technical background in Computer Science, Engineering, Physics, Statistics or related fields, and a strong interest and preferably research experience in Machine Learning. Prospective PhD applicants should email a C.V. to the faculty member they wish to work with. Application for admission as a graduate student must be made on a University application form. Further information is available at the Graduate Admissions website.

Support

Engineering and Physical Sciences Research Council
German Research Foundation (Deutsche Forschungsgemeinschaft, DFG)
Microsoft Research
U.S. National Institute of Health
DataPath

Links

Cognitive Systems @ CUED
Gaussian Processes
Variational Bayes