ML.NET Articles, Tutorials & News

ML.NET articles, tutorials, and news from the DotNetNews archive.

45 articles Updated

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Editor picks for ML.NET

  1. ML.NET — Machine Learning Without Leaving .NET

    medium.com Issue #500

    A useful entry point for developers who want predictive features without jumping out of the .NET stack.

    Read article Issue #500

  2. Loading Data in ML.NET: A Beginner’s Guide with C# Examples

    itnext.io Issue #280

    ML.NET gets a friendly entry point here, with data loading examples that are easy to follow.

    Read article Issue #280

  3. The Future is Now: Predictive .NET with ML.NET

    medium.com Issue #226

    ML.NET gets a welcome “what can I build now?” treatment.

    Read article Issue #226

  4. Implementing Local LLM Inference in .NET Applications Using ONNX Runtime

    c-sharpcorner.com Issue #491

    Local inference keeps getting more practical. Good fit for privacy-sensitive and cost-conscious workloads.

    Read article Issue #491

  5. .NET MAUI Community Standup: Rust, SkiaSharp Everywhere, AI/ML Live Processing

    youtube.com Issue #476

    A broad MAUI standup with enough crossover ideas to interest Blazor folks too, especially around drawn UI and live AI processing.

    Read article Issue #476

  6. Agentic RAG for Everyone Using Azure SQL, OpenAI, and Web Apps

    youtube.com Issue #405

    The title says RAG, but the real value is the broader Azure SQL/OpenAI demo flow and how these pieces get wired together.

    Read article Issue #405

  7. How to Classify Documents using AI in C#/.NET

    cloudmersive.medium.com Issue #405

    Document classification with AI is a practical use case, not a demo for demo’s sake, and it fits real pipeline work.

    Read article Issue #405

  8. ✨ Prompt Engineering Never Dies ✨

    c-sharpcorner.com Issue #380

    Prompt engineering as a moving target, not a finished chapter.

    Read article Issue #380

ML.NET tutorials from the DotNetNews archive, curated for .NET developers who already ship production code. This is a reading list pulled from daily issues, not a substitute for the official docs on ML.NET.

Use Start here for the editorial shortlist, then browse Latest or the full archive when you need more depth. Coverage leans toward machine learning .NET, C# machine learning, ml.net. Recent pieces worth opening: “ML.NET . Machine Learning Without Leaving .NET” and “Implementing Local LLM Inference in .NET Applications Using ONNX Runtime”.

Every item links out to the original publisher and back to the DotNetNews issue where it ran.

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