20 Lines of Code to Outperform A/B Testing

Tired of inefficient A/B testing? This article introduces an algorithm based on the multi-armed bandit problem that significantly improves website optimization with just 20 lines of code. By tracking the reward of each choice and incorporating random exploration, the algorithm quickly finds the best option and continuously uses it until a better one emerges. This method handles multiple options simultaneously, adapts to change, and eliminates the need for constant monitoring and adjustments, saving significant time and effort. Say goodbye to inefficient A/B testing and embrace smarter website optimization!