Towards AI Can Help your Team Adopt AI: Corporate Training, Consulting, and Talent Solutions.

Publication

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

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

Last Updated on July 25, 2023 by Editorial Team

Author(s): Andrew Austin

Originally published on Towards AI.

Understanding the basics of the Monte Carlo method

This member-only story is on us. Upgrade to access all of Medium.

Photo by Mark de Jong on Unsplash

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 CarloRead the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI

Feedback ↓