Naive Bayes Classification
Naive Bayes classification methods are quite simple (in terms of model complexity) and commonly used for tasks such as document classification & spam ...
naive-bayes tutorial article

Bayes' theorem provides a statistical framework for incorporating test evidence into our probabilistic viewpoint of events. We can apply Bayes' theorem to classification tasks within machine learning to calculate the probability of an observation belonging to each of the possible classes, given a feature vector that describes the observation.

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Authors
Machine learning engineer. Broadly curious. Twitter: @jeremyjordan
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