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Monte Carlo Integration

Cory Maklin
Towards Data Science
5 min readOct 3, 2020

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Often times, we can’t solve integrals analytically and must resort to numerical methods. Among these include Monte Carlo integration. As you may remember, the integral of a function can be interpreted as the area under a function’s curve. Monte Carlo integration works by evaluating a function at different random points between a and b, adding up the area of the rectangles and taking the average of the sum. As the number of points increases, the…

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