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Lecture
Conditional Probability: Prediction Decomposition
Description
This lecture covers the concept of conditional probability, the law of total probability, Bayes' theorem, and prediction decomposition. It explains how to calculate the probability of events given certain conditions and how to decompose joint probabilities into conditional probabilities. Examples include scenarios involving detecting terrorists at airports and randomly choosing hats after a dinner. The instructor emphasizes the importance of understanding these concepts for making informed decisions based on available information.
Official source
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