May 12, 2015 Simon Raper

Modelling for decisions

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Here’s the deck I presented today at the Predictive Analytics Innovation conference in London.

The idea was to look at ways in which we might use modern statistical methods to help build models that are grounded firmly on common sense intuitions and to do it all in a very short time.

If you are interested in more details just let me know on twitter or drop me an email

Or you can download the presentation from here

About the Author

Simon Raper I am an RSS accredited statistician with over 15 years’ experience working in data mining and analytics and many more in coding and software development. My specialities include machine learning, time series forecasting, Bayesian modelling, market simulation and data visualisation. I am the founder of Coppelia an analytics startup that uses agile methods to bring machine learning and other cutting edge statistical techniques to businesses that are looking to extract value from their data. My current interests are in scalable machine learning (Mahout, spark, Hadoop), interactive visualisatons (D3 and similar) and applying the methods of agile software development to analytics. I have worked for Channel 4, Mindshare, News International, Credit Suisse and AOL. I am co-author with Mark Bulling of Drunks and Lampposts - a blog on computational statistics, machine learning, data visualisation, R, python and cloud computing. It has had over 310 K visits and appeared in the online editions of The New York Times and The New Yorker. I am a regular speaker at conferences and events.

Machine Learning and Analytics based in London, UK