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This video explores Monte Carlo simulation, one of the most powerful and counterintuitive ideas in modern computation. Instead of solving problems exactly, Monte Carlo methods rely on randomness to approximate answers to questions that are otherwise intractable. We look at why this works, when it fails, and why randomness becomes an advantage rather than a weakness.
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