Before learning about Bayes theorem/Rule/Law it is suggested to read and
understand the Conditional probability from HERE.
Bayes Rule or Bayes Theorem or Bayes Law describes the probability
of an event based on the prior knowledge of the conditions that might be
related to the event. If we know the conditional probability, then by using Bayes theorem we can find out
the reverse probabilities
Bayes' theorem is
very useful in explaining the relationship between a conditional probability and its reverse form.
There are four
probability is this equation.
How to read the
P(A|B) in Bayes Theorem:
Find the probability of Hypothesis, given
that, we have some evidence data.
Explanation with the help of Conditional probability:
Exercise:
From a bunch of playing card, what is the probability of getting a face
card that may be a Queen Card.
Given:
A = Queen Card
B = Face Card
Total card = 52
Total Face card = 12 (4 King x 4 Queen x 4 Joker)
P(B|A) = 1, what is the chance of being a face card out of all Queen
cards, of course at least 1, because of all
the Queen cards are face card
Hence the Equation is:
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