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Modelling with Big Data & Machine Learning: Measuring Economic Instability
Wed, 04 Nov
|registration with the Bank of England
The confluence of access to large granular data sources (‘Big Data’) and the rapid advance of modelling techniques like those from machine learning promises new insights into the economy and a larger information set for policymakers.
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Date & Location
04 Nov 2020, 10:00 – 06 Nov 2020, 16:00
registration with the Bank of England
About the Event
Our Director Angus Armstrong will be speaking on Friday 6 November:
IMF Session II
Friday, November 6
1:30 pm - 3:00 pm
Main Session
Speakers
- Angus Armstrong (Speaker): Rebuilding Macroeconomics
- Andras Komaromi (Speaker): Economist, International Monetary Fund
- Alvaro Ortiz Vidal Abarca (Speaker): Head of Big Data Research, BBVA Research
- Weining Xin (Speaker): Economist, International Monetary Fund
- Soohyon Kim (Speaker): Economist, Bank of Korea
See full prpgramme here
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