Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

This project is currently archived. Please fork the project into your own GitHub account if you would like to continue its development. After 14~15 years of development, the Accord.NET project has ...

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what you need to know about using Java, Rust, Go, or C#/.Net for AI/ML. Learn ...

.NET’s annual cadence has given the project a solid basis for rolling out new features, as well as a path for improving its foundations. No longer tied to Windows updates, the project can provide ...

ML.NET is a cross-platform open-source machine learning (ML) framework for .NET. ML.NET allows developers to easily build, train, deploy, and consume custom models in their .NET applications without ...

FLAML is a project for automating the machine learning model development process such as hyperparameter optimization and learner selection for better model quality or faster inference using low ...

Microsoft has released C# 14 and .NET 10, a long-term support version, along with a bunch of related products including Visual Studio 2026 and Aspire 13. Copilot Free is included but devs will soon ...

With a focus on enhancing developer productivity and application performance, .NET 6 brings numerous improvements and advancements. It also incorporates improvements in AI and machine learning ...

Abstract: machine learning is leveraged to dynamically optimize obfuscation patterns and predict the most effective techniques tailored to specific software environments, which marks a considerable ...