From the course: Automated ML.NET Training, Metrics, and Accuracy

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What you should know

What you should know

- [Instructor] Here are some of the things you should know before diving into this course. First, some familiarity with ML concepts and terminology. Experience working with ML models either in ML.NET or other frameworks, and of course, some fundamental knowledge with Visual Studio and C#. We'll take some of that machine learning experience and apply it to ML.NET and I'll show you where to find metrics and other objects within the ML.NET framework. If you feel comfortable with these topics, you should have no problem following along.

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