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Wednesday, August 23 • 4:45pm - 5:45pm
Online Payment Fraud Detection with Azure Machine Learning

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Fraud detection is one of the earliest industrial applications of data mining and machine learning. As part of the Azure Machine Learning offering, Microsoft provides a template that helps data scientists easily build and deploy an online transaction fraud detection solution. The template includes a collection of pre-configured machine learning modules, as well as custom R scripts, to enable an end-to-end solution. This session presents best practices, design guidelines and a working implementation for building an online payment fraud detection mechanism in a SharePoint portal connected to a credit card payment gateway. The full source code of the solution is released as open source.

Speakers
avatar for Stefano Tempesta

Stefano Tempesta

VP of Engineering, EF Education First
Stefano is Vice President of Engineering at EF Education First, the world’s leading private international education company. A regular speaker at worldwide conferences, including Microsoft Ignite, NDC, API World and the European SharePoint Conference, his interests span across... Read More →


Wednesday August 23, 2017 4:45pm - 5:45pm
B07-B08 bcc Berlin Congress Center