July 2017
Intermediate to advanced
254 pages
6h 29m
English
Content preview from Mastering Machine Learning with scikit-learn - Second Edition
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Bayes' theorem
Bayes' theorem is a formula for calculating the probability of an event using prior knowledge of related conditions. The theorem was discovered by an English statistician and minister named Thomas Bayes in the 18th century. Bayes never published his work; his notes were edited and published posthumously by the mathematician Richard Price. Bayes' theorem is given by the following formula:
A and B are events; P(A) is the probability of observing event A, and P(B) is the probability of observing event B. P(A|B) is the conditional probability of observing A given that B was observed. In classification tasks, our goal is to map features ...
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