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ML.NET is an open-source, cross-platform machine learning framework for .NET developers that enables integration of custom machine learning into .NET apps.
We are excited to announce new versions of ML.NET and Model Builder which bring a ton of awesome updates!
In this post,
The post ML.NET June Updates appeared first on .NET Blog.
While we are still recovering from Microsoft Build and .NET 6 Preview 4, we are here to share our continued progress with .NET Multi-platform App UI (.NET MAUI) with .NET 6 Preview 5. In this release we have enabled animations and view transformations,
The post Announcing .NET MAUI Preview 5 appeared first on .NET Blog.
Today, the Entity Framework Core team announces the fifth preview release of EF Core 6.0. This release includes the first iteration of compiled models. If startup time for your application is important and your EF Core model contains hundreds or thousands of entities,
The post Announcing Entity Framework Core 6.0 Preview 5: Compiled Models appeared first on .NET Blog.
We are thrilled to release .NET 6 Preview 5. We’re now in the second-half of the .NET 6 release, and starting to see significant features coming together. A great example is .NET SDK Workloads, which is the foundation of our .NET unification vision and enables supporting more application types.
The post Announcing .NET 6 Preview 5 appeared first on .NET Blog.
Pretty much every app is network-connected and depends on fast and reliable networking to provide its intended experience. This includes both client- and server-side networking, and even both within the same app. There is also a lot of new development and diversity of requirements across networking protocols and systems.
The post Conversation about networking appeared first on .NET Blog.
Today, we are releasing the June 2021 Cumulative Update Preview for .NET Framework for Windows 10, version 1809, Windows Server 2019, and Windows 10, version 1909.
Quality and Reliability
This release contains the following quality and reliability improvements.
ClickOnce
Addresses a regression introduced in previous updates.
The post .NET Framework June 2021 Cumulative Update Preview appeared first on .NET Blog.
Bing runs one of the world’s largest, most complex, highly performant, and reliable .NET applications. This post discusses the journey and the work required to upgrade to .NET 5, including the significant performance gains we achieved.
This application sits in the middle of the Bing architecture stack and is responsible for much of the coordination among thousands of other components that provide results for all queries.
The post Migration of Bing’s Workflow Engine to .NET 5 appeared first on .NET Blog.
Diagnostics has always been a fundamental part of the .NET development experience. It enables developers to understand the runtime behavior of their programs, at both a high- and low-level. It’s also the set of tools that developers reach for to root-cause a failure and resolve it.
The post Conversation about diagnostics appeared first on .NET Blog.
Today, I’d like to show dotnet how to run your own .NET application on a Micro Controller Unit (MCU) on a simple battery for multiple years. I’ll build an application that will read the temperature and pressure on a BMP280 sensor connected to an ESP32.
The post Show dotnet: Running my .NET nanoFramework for 8 years on a battery appeared first on .NET Blog.
Model Explainability ensures you can debug or audit your machine learning models. By understanding how and why your model reacts in certain situations, you can ensure reliability and robustness, while avoiding bias.
Tell us about how you want to interpret your models and assess bias in ML.NET by taking this ~10 minute survey.
The post ML.NET Survey: Model Explainability appeared first on .NET Blog.
