T
Timothy Williamson
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I'm using a framework to accomplish the machine learning bits so a video would be rough (almost all of the magic happens on lines 93-100 of Program.cs)...I can link you to the resources I used when researching though. They'll have much more detail. This explains the decision trees based on learning algorithms: https://crsouza.com/2012/01/04/decision-trees-in-c/ The example application puts all of this together and shows how to use the ID3 algorithm to turn this: into this: I haven't tested with anything more complex than what's pictured but, since Run() of the ID3Learning class can take an array of outputs, more complex actions can probably be supported. Going one step further, I see no reason why the data couldn't come straight from a database or why, using something similar to the methods used in the CorticonVocabularyBuilder example , we couldn't auto generate the vocabulary to go along with it. 
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