Nick Radcliffe

Nick is a practising data scientist with over 30 years experience, from neural networks and genetic algorithms on parallel systems in the late 1980s, through parallel machine learning and 3D visualisation software as a founder of Quadstone, from 1995, to novel modelling methods (e.g. uplift modelling) in the early 2000s. Since 2007 , he has run Edinburgh data science specialists Stochastic Solutions.

Nick enjoys using his deep knowledge of underlying algorithms to fashion tailored solutions to practical business problems for clients including Barclays, Sainsburys, T-Mobile and Skyscanner, and has a particular interest in testing and correctness in data science.

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Institute / Company – Stochastic Solutions Limited & Department of Mathematics, University of Edinburgh Institute / Company – Stochastic Solutions Limited and Department of Mathematics, University of Edinburgh Twitter handle – @njr0 Twitter handle – @njr0 Homepage – stochasticsolutions.com Homepage – stochasticsolutions.com Git*hub|lab – https://github.com/tdda Git*hub|lab – https://github.com/tdda

Talks

Constrained Data Synthesis

We introduce a method for creating synthetic data "to order" based on learned (or provided) constraints and data classifications. This includes "good" and "bad" data.