Institute for Mathematical Innovation

The Rise and Rise of Machine Learning

Venue: University Hall (Building 2 West)


Speaker: Professor Mike Tipping, Institute for Mathematical Innovation

When: Friday 11 November at 3.15 pm - 4.15 pm (Tea and coffee from 2.45 pm)

Audience: FREE event, open to all. Get your free ticket.


IMI Public Lecture

Machine Learning ImageMachine learning has gained significant prominence in the past few years, particularly as a headline technology underpinning the recent renaissance in the field of artificial intelligence (AI).

Almost all the latest high-profile progress in AI - from driverless cars to AlphaGo - is powered by machine learning, leading many to identify it as the next big breakthrough technology.

At the same time, the technology is becoming ever more ubiquitous behind the scenes, powering systems for speech recognition, web search and electronic payment security.

Featuring numerous examples and illustrations, this talk will endeavour to explain what machine learning actually is, how it relates to other established disciplines (such as statistics), and, in the context of presenting a brief history of the topic, will consider the factors behind its seemingly irresistible rise.


Professor Mike Tipping

Professor Mike TippingProfessor Mike Tipping, who joined IMI in April this year, is a world-renowned expert in the field of Data Analytic Science and pioneer of a number of novel modelling techniques.

Before joining the University, Mike was Director of Science at Cambridge start-up Featurespace. The company is known for developing a new form of data analysis named “Adaptive Behavioural Analytics”, which is used to prevent fraud in some of the world’s largest banks and insurance companies. Mike was also a member of the team who started Microsoft’s Research Laboratory in Cambridge in 1998.

His research interests centre on Machine Learning, and extends to Data Science and Artificial Intelligence – all viewed from a probabilistic modelling and Bayesian statistical perspective wherever possible. Mike has also got a general interest in pursuing probabilistic solutions to traditionally non-probabilistically framed problems in machine learning and beyond.

This free event is open to everyone. Get your free ticket now

Please contact Sanne Terry at for further information.