Bayesian learning is built on an assumption that the model space contains a true reflection of the data generating mechanism. In reality all models are false. If the data is simple and small, and...
ABSTRACT: The defence and security sector has always been a data rich environment, resulting in many scientific advances being published in the data science literature over the last 30 years. This tal
The Data Science Institute would like to thank Ioannis Tsamardinos from the University of Crete, who presented 'Automating Predicitve Modelling and Knowledge Discovery' as part of our Advanced Data An
The Data Science Institute was pleased to welcome Nicholas Heard from Imperial College London who presented 'Data Science In Cyber-Security and Related Statistical Challenges.' Abstract: Data science
The Data Science Institute would like to thank Professor Mark Girolami from Imperial College London to present as part of our Advanced Data Analytics Seminar Series. On 20th March, Professor Girolami will present "Stochastic Modelling of Urban Structure."