AI Anyone Can Understand: Part 8 — The Monte Carlo Method

Author(s): Andrew Austin

Originally published on Towards AI.

Understanding the basics of the Monte Carlo method

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The Monte Carlo method is a way of solving problems by using random numbers and probabilities. It can be used to make predictions or estimates about things that are hard to calculate exactly.

For example, imagine you have a bag with 100 marbles in it, and you want to know how many marbles are blue. You could take out each marble one by one and count how many are blue, but that would take a long time. Instead, you could use the Monte Carlo… Read the full blog for free on Medium.

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Published via Towards AI