Data Science and Machine Learning (Theory and Projects) A to Z - Probability Model: Conditional Probability Example

The video tutorial introduces conditional probability, explaining standard notations and defining events A and B within a sample space of a die roll. It discusses a loaded die where even numbers are twice as likely as odd numbers, and calculates the probability of event A. The tutorial explores conditional probability, finding the probability of A given B, and concludes with a discussion on the independence of events A and B.

What is the significance of the conditional probability notation P(A|B)?

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Discuss the implications of knowing that event B will occur on the probability of event A.

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What does it mean for two events to be independent?

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How does supplied information affect the probability of an event?

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