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Pretty good explanation - my only gripe is that all bayes classifier tutorials like this build the 'spam detector' type that's specialized to text. Though it's a common use case, that isn't the only thing that the classifier can do - you can use it for raster classification, other types of predictions, etc: and building a non-specialized version would make this point more clear.



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