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 ...

JFrog ML leverages the JFrog Artifactory artifact and model repository and integrates with AI technologies Hugging Face, Amazon SageMaker, Databricks’ MLflow, and Nvidia NIM.

.NET development is a cornerstone in the custom software development landscape. Explore the Top 5 Best .NET Developers in 2024 to help boost your organization's business.

The types of data that developers work with are diverse and ever-expanding, ranging from structured to unstructured, and from text to images, audio, and more. In this article, we'll explore the ...

Developers don't need to be professional data scientists in order to start using ML in their applications. I feel like .NET developers can feel extra intimidated by ML: they might feel they not only ...

With this talk I want .NET developers to see how they can use their favorite development language for their ML tasks and feel inspired to start creating and using custom ML models. With machine ...

VisualStudioMagazine: What inspired you to present a session on machine learning for .NET developers?Kolesnikova The goal of all my talks is to show developers how easy it is to start working with ML ...

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 ...