April 2017
Beginner to intermediate
358 pages
9h 30m
English
Naive Bayes is a probabilistic model that is, unsurprisingly, built upon a naive interpretation of Bayesian statistics. Despite the naive aspect, the method performs very well in a large number of contexts. Because of the naive aspect, it works quite quickly. It can be used for classification of many different feature types and formats, but we will focus on one in this chapter: binary features in the bag-of-words model.
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