lity, Conditional Probability, and Bayes theorem.
It is an experiment or a process for which the outcome cannot be predicted with certainty.
E.g.- While tossing a coin we can’t conclude in advance if the output will be heads or tails.
The set consisting of all possible outcomes of a random experiment is known as Sample space.
E.g.-
The output of tossing a coin can consist of the following values = {H, T}
The output of rolling a dice S = {1,2,3,4,5,6}
The subset of Sample space which consists of all the available outcomes is known as an event.
For e.g-The output Head which is obtained after tossing a coin is known as the event.
#bayes-theorem #naive-bayes-classifier #machine-learning #supervised-learning