Naive Bayes Machine Learning Algorithm

Machine Learning / Naive Bayes Machine Learning Algorithm

Naive Bayes tells us occurrence of a feature is independent of occurrence of other features. It uses bayes theorem.

Example
Human is identified based on features (skin, hands, legs, eyes, tongue e.tc) used to recognize a human. Here every features contributes identify human with without depending on feature other

Here A, B are Events

P (A|B) = Probability of A given B is true

P (B|A) = Probability of B given A is true

P (A), P (B) are Independent Probabilities of A and B

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