Conditional Probability is a key concept in probability theory that helps us understand the likelihood of an event occurring, given that another event has already happened. In this video, we’ll explain how conditional probability works, its real-world applications, and how it’s used to make better predictions in machine learning and statistics.
The formula to calculate Conditional Probability is:
P(A∣B) = P(A∩B) / P(B)
00:00 – Introduction
00:53 – Conditional Probability
01:48 – Example
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