Conditional Probability

Conditional probability is a fundamental concept in probability theory, indispensable in various fields such as statistics, machine learning, and decision-making processes. It measures the likelihood of an event occurring given that another event has already happened. By expressing the probability of one event under the condition that another event has occurred, conditional probability enables precise modeling of uncertain scenarios. This notion plays a pivotal role in understanding dependencies between events and is extensively utilized in real-world applications ranging from risk assessment to medical diagnosis and beyond.

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