ML.NET is an open-source and cross-platform machine learning framework (Windows, Linux, macOS) for .NET developers. Using ML.NET, developers can leverage their existing tools and skillsets to develop and infuse custom AI into their applications by creating custom machine learning models. ML.NET allows you to create and use machine learning models targeting common tasks such as classification, regression, clustering, ranking, recommendations and anomaly detection. It also supports the broader open source ecosystem by proving integration with popular deep-learning frameworks like TensorFlow and interoperability through ONNX. Some common use cases of ML.NET are scenarios like Sentiment Analysis, Recommendations, Image Classification, Sales Forecast, etc. Please see our samples for more scenarios.

Azure Stream Analytics is a fully managed serverless offering on Azure. With the new Anomaly Detection functions in Stream Analytics, the whole complexity as...

A first-hand look from the .NET engineering teams

We live in a world of teams, and with teams comes communication about our software projects in terms of what work needs to be done and bugs that have been discovered. What if we could work directly in Rider on those GitHub … Continue reading →

The new release of the C# language migth seem as a minor version, but in fact, it contains a hidden gem. In fact, it contains awesome support for pattern matching - but for some reason, this is concealed under the name 'exception filters'.

As you move to the cloud, there’s a lot to learn about using containers to simplify the deployment and management of your applications. Advance your skillset with this e-book from Packt, along with an accompanying GitHub repository of hands-on labs to help you gain experience. Discover ho…

See what is new in the Visual Studio Code January 2019 Release (1.31)

Microsoft Build is an annual conference event held by Microsoft, aimed towards software engineers and developers. First held in 2011. The event has been held at a large Convention center, or purpose-built meeting space on the Microsoft Campus. The Keynote on the first day has been led by the Microsoft CEO addressing the press and developers. It has been the place to announce the general technology milestones for developers. There are breakout sessions conducted by engineers and program managers, most often Microsoft employees representing their particular initiatives. The keynote on the second day often includes deeper dives into technology. Thousands of developers and technologists from all over the world attend.

In this video, Cody Beyer will demonstrate how to log in and publish a web project to Azure. Join him and learn how to get the most out of Visual Studio for ...

Last year the X-Ray team released a preview 2.0 version of the AWS X-Ray libraries for .NET Core. Today, these libraries are generally available (GA) as version 2.5. AWS X-Ray helps developers analyze and debug distributed applications, such as those built using a microservices architecture. With X-Ray, you can understand how your application and its […]