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An approximate methodology that uses repeated random sampling to generate synthetic simulated data. It is often used to estimate complex mathematical outcomes, such as probability distributions, by running simulations many times and analyzing the results. Monte Carlo methods are widely used in fields like finance, physics, and machine learning to solve problems involving uncertainty or optimization