June 2020
Intermediate to advanced
382 pages
11h 39m
English
Content preview from 40 Algorithms Every Programmer Should Know
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Understanding the naive Bayes algorithm
Based on probability theory, naive Bayes is one of the simplest classification algorithms. If used properly, it can come up with accurate predictions. The Naive Bayes Algorithm is s0-named for two reasons:
It is based on a naive assumption that there is independence between the features and the input variable.
It is based on Bayes, theorem.
This algorithm tries to classify instances based on the probabilities of the preceding attributes/instances, assuming complete attribute independence.
There are three types of events:
Independent events do not affect the probability of another event occurring (for example, receiving an email offering you free entry to a tech event and a re-organization occurring ...
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