Conditional Probability


Conditional probability is the probability of an event occurring given that another event has already occurred. In other words, it is the likelihood of an outcome given that a certain condition has been met. In data science and artificial intelligence, conditional probability is used to model and predict the behavior of complex systems. It is a fundamental concept in Bayesian statistics, which is a statistical approach that uses probability to represent uncertainty. Conditional probability is also used in machine learning algorithms, such as Naive Bayes classifiers, which use prior probabilities and conditional probabilities to make predictions about new data points.


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