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Just to use it as an example, StackOverflow users already associated tags to questions for a lot of questions.

Is there a .NET machine learning library that could use this historic data to 'learn' how to associate tags to newly created questions and suggest them to the user?

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I made a machine learning library that might help: http://machine.codeplex.com. Its basic premise is that you simply will use straightforward lists of POCO objects and make models from them by expanding upon the categories.

But, for more interesting topics like POCO or Logistic Regression, studying a Machine Learning Online Course becomes quite substantial in developing one's brain and curiosity towards the domain.

--- Update I've since moved the project here: http://numl.net.

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