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Wednesday, October 2 • 1:45pm - 2:45pm
Predicting earthquake damages with Azure Machine Learning

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In April, 2015 there was an earthquake with 7.8 magnitude, and an epicenter in the Ghorka District of Nepal. The disaster injured more than 30000 people, which was in most cases caused by the collapsed buildings in the earthquake. During the demo-oriented session you receive hands-on knowledge to build your own predictive model, to shape it for your own business and to improve it for better results. With this model you can investigate the risks of damage in case of another disaster. The data we use for the demo can be used to mitigate which buildings might need strengthening, so not only many buildings, but also thousands of lives could be saved in another earthquake.

Speakers
avatar for Eva Pardi

Eva Pardi

Eva is absolutely obsessed with data and passionate about AI. She is a Data Analyst and Software Developer at Laerdal, additionally provides consulting and works with various projects at her startup company.


Wednesday October 2, 2019 1:45pm - 2:45pm CEST
Room 4