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19 February 2010
In this year’s IET/ BCS Turing Lecture, hosted by the University, Professor Christopher Bishop discusses the field of machine learning, and shows how uncertainty can be modelled and quantified using probabilities.
This prestigious, high profile lecture, dedicated to the memory of early computing pioneer Alan Turing, explores how computers can ‘learn’.
Computers are traditionally viewed as logical machines which follow precise, deterministic instructions. The real world in which they operate, however, is full of complexity, ambiguity, and uncertainty.
As part of the lecture Professor Bishop, the Chief Research Scientist at Microsoft Research, will also look at the recent developments in probabilistic modelling which have greatly expanded the variety and scale of machine learning applications, and he explores the future potential for this technology.
The event is supported by the University’s School of Computer Science & Informatics and is the second time that the lecture series has been hosted by Cardiff University.
The lecture takes place on 16th March (6.30-8.00pm) and will be followed by a buffet reception, offering the opportunity to meet the speaker and enjoy the surroundings of the University’s Grade II listed Main Building. Tickets for the event are free of charge (there is a fee for the buffet) – to register for the event please visit the http://www.theiet.org/turing.
As well as being Microsoft Research’s Chief Research Scientist, Christopher Bishop is also Professor of Computer Science at the University of Edinburgh, a Fellow of Darwin College, Cambridge and is the author of the leading textbook "Pattern Recognition and Machine Learning" (Springer, 2006).
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