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Learning and classification methods based on probability theory
Bayes theorem plays a critical role
Builds a generative model that approximates how data is produced
Has prior probability of each category given no information about an item.
Model produces a posterior probability
Distribution over the possible categories given an item
Naïve Bayes methods use a bag of words as the item description
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