Time series anomaly detection with Azure and .NET

 
English Intermediate Developer Tools

If you have any device or source that generates values over time (also a log from a service), you want to determine if in a time frame, the time serie is correct or you can detect some anomalies. What can you do as a developer (not a Data Scientist) with .NET o Azure? Let's see how in this session.

Speaker

Marco Parenzan

Solution Sales Specialist in Insight, Microsoft Azure MVP, 1nn0va community lead

Marco Parenzan is Solution Sales Specialist @ Insight, coming from an experience as an independent Cloud and IoT Architect and .NET Developer. He has been awarded as a MVP on Microsoft Azure since 2014. He is a speaker in major community events in Italy about Azure and .NET development. He is a community lead for 1nn0va, an official Microsoft community in Pordenone, Italy. He has written a book on Azure in 2016. He loves developing retrogames, reading comix and watching sci-fi movies.

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