Building Tic-Tac-Toe AI from Scratch Part 225: Foundational Statistics for Proving the Law of Large Numbers

This article offers a fantastic, deep dive into the mathematical foundations that power AI and Reinforcement Learning. By meticulously breaking down the Law of Large Numbers and the basics of descriptive and inferential statistics, the author provides developers with the essential theory needed to understand why Monte Carlo methods actually work. It is a brilliant resource that brilliantly bridges the gap between coding a tic-tac-toe AI and mastering the complex statistical concepts underpinning modern machine learning.