Simon Raper
Coppelia Machine Learning and Analytics
Simon is an RSS accredited statistician with over 20 years’ experience working in data science and artificial intelligence and many more in coding and software development. His specialities include large language models, machine learning, natural language processing, time series forecasting, advanced statistical modelling, market simulation, choice modelling and data visualisation.
In 2014 he founded Coppelia Machine Learning and Analytics, whose clients include Google, The Economist, ITV, Wikipedia, Sainsbury’s and Net-a-Porter.
He is a regular writer on statistics for Significance magazine.
Simon Raper's tool set includes
machine learning,
natural language processing,
statistical modelling,
bayesian modelling,
simulation,
geo spatial modelling,
choice modelling,
pattern recognition,
topic modelling,
anomaly detection
Simon Raper has worked with...
