Many thanks to ST John from Prowler.io who gave an excellent presentation "“Many-body coarse grained interactions using Gaussian approximation
Many thanks to Dr Marc Deisenroth (Imperial College London) who presented 'Data-Efficient Learning for Autonomous Robots' Abstract: Trial-and-error based reinforcement learning (RL) has seen rapid advancements in recent times, especially with the advent of deep neural networks. However, the majority…
Adaptive Truncations of a Bayesian Regression Model for a Study of Fertility and Partnership Patterns of Colombian Women
The Data Science Institute would like to thank Dr Sara Wade for an excellent presentation on 'Adaptive truncation of a Bayesian nonparametric multivariate regression model for a study of fertility and
Are Supervised Learning Algorithims The Key To A Paradigm Shift In The Way We Measure Air Pollution?
Thanks to Dr Pete Edwards from the University of York for his presentation on 14th November 2017 'Are supervised learning algorithims the key to a paradigm shift in the way we measure air pollution?'
On 17th October 2017, the Data Science Institute was delighted to welcome Dr Suzy Moat to present 'Sensing human behaviour with on-line data.' Abstract: Our everyday usage of the Internet generates huge amounts of data on how humans collect and exchange information worldwide. In this talk, Suzy will…