[Build 2019] Welcome to the world of Machine Learning with ML.NET 1.0

As i updated earlier, ML.NET is a free, cross-platform, and open source machine learning framework for .NET developers. It is also an extensible platform that powers Microsoft services like Windows Hello, Bing Ads, PowerPoint Design Ideas, and more. This session focuses on the release of ML.NET 1.0. If you want to learn the basics about…


[Build 2019] Machine learning with ML.Net

As i updated you earlier, ML.NET is a free, cross-platform and open source machine learning framework designed to bring the power of machine learning (ML) into .NET applications. As you aware that we’re in mid of Microsoft Build 2019 conference, where we joined by Cesar De La Torre Llorente who gives us a great overview…


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…

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Getting started with ML.Net

ML.NET is an open source machine learning framework, created by Microsoft, for the .NET developer platform. ML.NET is cross platform and runs on macOS, Linux and Windows. In short, ML.NET is a machine learning framework built for .NET developers. Use your .NET and C# or F# skills to easily integrate custom machine learning into your…