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I have been playing around with Cognitive Services since sometime now, as I find them mind blowing APIs to do a lot of Artificial Intelligence tasks without spending much time building AI algorithms yourself. Take FACE API for example. Normally the most common way to do face detection/recognition...
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SQL Server R Services https://msdn.microsoft.com/en-us/library/mt604845.aspx SQL Server R Services Tutorials: https://msdn.microsoft.com/en-us/library/mt591993.aspx ML Templates with ‘R’: https://gallery.cortanaintelligence.com/Collection/ML-Templates-with-SQL-Server-R-Services-1
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As every year in context of my lesion at University of Applied Sciences in Frankfurt , I give an opportunity to all my students to visit Microsoft office in Bad Homburg and to talk to some Microsoft representatives. This year at April 11th 2016, my Microsoft colleague Julia Jauß will give us an...
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You want to learn about Azure Cloud and Data Platform? Then feel invited to out Azure Global Bootcamp at April 16th in Frankfurt am Main. We will have many industry well known experts, professionals and enthusiast. This year we will set more focus and hand on labs then break out session. Attendees will...
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Damir Dobric Posts
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Damir Dobric
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02-04-2016
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Filed under: cloud, azure, windows azure, ServiceBus, Microsoft Azure, iot, Devices and Services, Machine Learning, AzureStreamAnalytics, LogicApps, AzureDatalake, Service Fabric
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„ Companies that cannot adapt will fall to Digital Darwinism.” Brian Solis, Digital Marketing Analyst Die rasant voranschreitende Digitalisierung der eigenen Produkte und Prozesse sowie der ständige Wandel in den Beziehungen zwischen Zulieferern und Herstellern stellt die Industrie vor große Herausforderungen...
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Internet of Things: Getting Started with Event Hubs (article) Microsoft Azure Event Hubs are a managed platform component of Azure IoT services that provides a telemetry data ingestion at cloud scale with low latency and high reliability. Cloud Data Science Process (Video 1h): The Cloud Data Science...
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This article is a third one in a series of articles related to introduction to Azure Machine Learning for Developers. When working with Azure Machine Learning you will soon or later want to publish the trained model as a Web Service. However as developer you will expect some way to design your web service...
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In the first part ( Episode 1 ) of this series I introduced Azure Machine Learning and problem domain which can be solved with this toolset. The I created the ne ML experiment and described how to deal with data sets. In this part (episode 2) I will step-through an experiment, which should predict if...