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Learn about Bayes' Theorem in this 36-minute lecture that covers essential probability concepts including measurable functions, random variables, distribution functions, classification of random variables, discrete random variables, and probability mass functions. Understand how this fundamental theorem provides a mathematical framework for updating probabilities based on new evidence.
