Machine Learning Developer – Anomaly detection using machine learning in Azure Stream Analytics

Azure Stream Analytics is a fully managed serverless offering on Azure. With the new Anomaly Detection functions in Stream Analytics, the whole complexity associated with building and training custom machine learning (ML) models is reduced to a simple function call resulting in lower costs, faster time to value, and lower latencies. Related articles/documentation: Anomaly Detection…

Video: Learning Machine Learning with .NET, PyTorch and the ONNX Runtime

ONNX is a open format to represent deep learning models that is supported by various frameworks and tools. This format makes it easier to interoperate between frameworks and to maximize the reach of your hardware optimization investments. In this episode, Seth Juarez sits with Rich to show us how we can use the ONNX runtime…


IoT : How to build .NET Core to build applications for IoT?

Do you know that .NET core to build applications for IoT? .NET Core can be used to build applications for IoT devices and scenarios. IoT applications typically interact with sensors, displays and input devices that require the use of GPIO pins, serial ports or similar hardware. The Raspberry Pi is commonly used for IoT applications….


Video: Understand your Productivity, analytics with Microsoft Office 365 MyAnalytics Outlook add-in

Microsoft Office 365 MyAnalytics Outlook add-in is part of MyAnalytics. MyAnalytics helps you understand how you communicate and spend your time at work.  Now with Microsoft Office 365 MyAnalytics add-in enables executives, managers and workers to focus on what matters most with time and network insights derived from Office 365. Understand time by category, collaboration…