This talk is on implementing machine learning models as a user-defined function (UDF) in Azure Stream Analytics jobs to do real-time scoring and predictions on streaming input data. Azure Machine Learning allows to use any popular open-source tool to prep, train, and deploy models. This presentation is on how to use machine learning models as functions into Stream Analytics job. Session includes real life use cases and demos.
Mihail Mateev is an owner, Solution Architect, Senior Technical Evangelist at SoftProject, responsible for .Net, IoT and cloud solutions. Mihail currently works as a Senior Solution Architect at EPAM Systems. He also worked many years like a Technical evangelist in the Infragistics. Last years Mihail was focused on various areas related to technology Microsoft: Visual Studio , ASP.Net, Windows client apps, MS SQL Server and Microsoft Azure.
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