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Predicting GDP using machine learning - presented by Dr Teo Susnjak

From 11 Jun 2019 2:00 PM
To 26 Jun 2019 9:00 AM
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Sir Neil Waters Lecture Theatre
Gross Domestic Product (GDP) on its own is not a very sexy topic, but trying to predict it using machine learning and data analysis might be! Although often criticised as an economic measure, the problem that needs to be solved is not GDP’s relevance, but the ability to get quick up-to-date indicators of GDP in a relevant time frame. Information on what happened three months ago is of limited use. We will look at the colourful history of GDP including criticisms and some clever global estimation strategies. Finally, our approach to building a real-time GDP predictor using machine learning will be outlined, together with its forecasting results from the last six months.

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