Simon Raper
Coppelia Machine Learning and Analytics
Simon is an RSS accredited statistician with over 15 years’ experience working in data science and analytics and many more in coding and software development. His specialities include machine learning, time series forecasting, advanced statistical modelling, market simulation and data visualisation.
In 2014 he founded Coppelia Machine Learning and Analytics.
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...
