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

The video tutorial explains the concept of conditional probability using a biased die example. It derives the probability of events A and B, and explains how to calculate the probability of A given B. The tutorial introduces the formula for conditional probability and discusses its significance, including its application in the Bayes classifier. The video concludes with a brief overview of the next steps in understanding conditional probability.

What is the significance of normalizing the probability of A given B?

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What assumptions must be made about event B for the conditional probability formula to hold?

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Describe the derivation of the conditional probability formula presented in the video.

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