The Alan Turing Institute has collaborated with G-Research, a leading quantitative research and technology company, to launch a lecture series on the subject of data science, its theories and its applications.
Researchers from the Institute will deliver six technical talks on their research and ideas – ranging from machine learning and statistical methods to new ways to make sense of data. These will be live-streamed and recordings will be made available on the Alan Turing Institute YouTube channel.
The first speaker will be Professor Stephen Roberts, Turing Faculty Fellow and Professor of Machine Learning at the University of Oxford, speaking on 4 July 2017 on the topic of ‘The Bayesian Crowd’. In the talk, Professor Roberts will discuss how in applications such as crowd-sourcing, a large amount of data needs to be combined in an intelligent manner, and looks at how Bayesian models can help do this.
Professor Andrew Blake, Research Director at The Alan Turing Institute, said “We are delighted to be working with G Research to bring Turing research expertise to both their community of researchers in financial services, and the wider online community. The series of talks will add to an already impressive library of Turing talks on our YouTube channel, in which we are bringing the work of our researchers to the world.”
Simon Lehnis, Executive Director at G-Research, commented: “This series of events will increase awareness of the latest research by one of the world’s leading data science institutes. By sharing this with our partners and the online community we hope to inspire and inform others who are using scientific methods, data and technology to solve complex real-world problems.”
Further speakers will be announced in the coming months. Those wishing to attend any of the lectures in person should contact firstname.lastname@example.org.
G-Research is a leading quantitative research and technology company. We use scientific techniques, big data and world-class technology to predict future movements in financial markets, and develop the platform to deploy these ideas globally.
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