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# Your search for *′what is bayes rule′* returned the following results:

### Bayes' theorem

Bayes' theorem is also known as Bayes' rule or Bayes' law, or called Bayesian reasoning.

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### a formula that allows us to compute the conditional probability of a given event

Bayes' rule is a formula that allows us to compute the conditional probability of a given event, after observing a second event whose conditional and unconditional probabilities were known in advance.

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### on Bayes rule of conditional probability

This is based on Bayes rule of conditional probability.

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### a cornerstone of modern probability theory

Discovered by an 18th century mathematician and preacher, Bayes’ rule is a cornerstone of modern probability theory.

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### of a given event

Bayes' ruleis the conditional probability of a given event, computed after observing a second event whose conditional and unconditional probabilities were known in advance.

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### This alternate calculation of the conditional probability

This alternate calculation of the conditional probability is referred to as Bayes Rule or Bayes Theorem, named for Reverend Thomas Bayes, who is credited with first describing the conditional probability .

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### the most important rule in data science

Bayes’ Rule is the most important rule in data science.

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### nothing more than a simple statement of conditional probability

Bayes rule itself is nothing more than a simple statement of conditional probability but can be used to make strong inferences.

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### an elementary consequence of Bayes's definition of conditional probability

As we saw, Bayes’s rule is formally an elementary consequence of Bayes's definition of conditional probability.

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### us

Bayes’ Rule tells us how to use this friend

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### By calculating the conditional probability of an event given some evidence

By calculating the conditional probability of an event given some evidence, Bayes' rule helps us make more accurate predictions and decisions in situations where uncertainty and probabilities are involved.

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### to the conditional probability expression seen earlier

As the aim is to find the probabilities for a set of competing hypotheses (H) given some data (d), Bayes' rule basically amounts to the conditional probability expression seen earlier: Using the product rule we can further arrange Bayes' rule as:

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