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  1. 17 Απρ 2024 · ML.NET gives you the ability to add machine learning to .NET applications, in either online or offline scenarios. With this capability, you can make automatic predictions using the data available to your application without having to be connected to a network to use ML.NET.

  2. ML.NET lets you re-use all the knowledge, skills, code, and libraries you already have as a .NET developer so that you can easily integrate machine learning into your web, mobile, desktop, games, and IoT apps.

  3. Free courses, tutorials, videos, and more about artificial intelligence and machine learning. Learn general concepts of machine learning and how to implement them in .NET using ML.NET.

  4. 17 Μαΐ 2023 · In this article, we will provide an overview of machine learning and explain how ML.NET enables it. We will learn how to build, train, and optimize a simple machine-learning model. Finally, we will see how the model can be used in a real-life application.

  5. ML.NET is a free, open-source, and cross-platform machine learning framework for the .NET developer platform. ML.NET allows you to train, build, and ship custom machine learning models using C# or F# for a variety of ML scenarios.

  6. 15 Μαΐ 2021 · It is an open-source and cross-platform machine learning framework that allows.NET developers to build, train and consume their custom machine learning models while staying in the...

  7. 1 Νοε 2019 · Machine learning is getting computers to make predictions without being explicitly programmed. Machine learning is used to solve problems that are difficult (or impossible) to solve with rules-based programming (e.g., if statements and for loops).

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