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AI-Driven Credit Scoring in Banking Workshop
We had a blast organizing the Bucharest AI Night, part of the Global AI Night initiative that took place on September 5 2019 in over 90 cities worldwide! Special thanks to our speakers and to our partners, the Global AI Community, and sponsors, Microsoft and Subway.
See how it went
In case you couldn’t join us, here’s more information on the practical lab using Azure Databricks and Machine Learning Service to build models rapidly, collaborate and operationalise at scale from cloud to edge!
AI-Driven Credit Scoring in Banking
(2 part workshop, 150 min)
Banks are key to market economies. They need to decide who can be credited, on what terms and impact investment decisions. For markets and society to operate, individuals and companies need access to credit.
Credit scoring algorithms, which make a guess at the probability of default, are how banks determine whether or not a loan should be granted. The objective of this workshop is to create an algorithm that can predict with a reliable probability if somebody will experience financial distress in the next two years and then use the underlying model as part of a predictive pipeline to achieve Constant Scoring.
Explore the workshops on GitHub
Hope you enjoyed the first edition of the Bucharest AI Night!
Please register to stay tuned for future events.
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