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Mark Mydland and Pamela Cortez from the Microsoft Azure IoT team
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Frequently, IoT applications want to take advantage of the intelligent cloud and the intelligent edge. In this Deep Dive, we walk you a predictive maintenance example that goes through training a machine learning model with data collected from IoT devices in the cloud, deploying that model to IoT Edge, and maintaining and refining the model periodically. Learn tips and resources you can use when building your own model and IoT Edge solution.
The ML on the Edge Walk-through Example can be found here: https://github.com/Azure-Samples/IoTEdgeAndMlSample