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What is Machine Learning?

 

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.

Taught Courses

4F13: Machine Learning

Taught by Zoubin Ghahramani and Carl Rasmussen. Course web page.

Previous 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)

Bayesian statistics in other labs

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

 

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