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Learn about Bayes' Rule and its fundamental application in machine learning through a comprehensive lecture that explores the probability formula Pr(A|B) = Pr(B|A) Pr(A) / Pr(B). Understand how this statistical concept translates into determining the probability of a model given data, with practical examples demonstrating its real-world applications in data science and machine learning contexts.