A/B testing, multi-armed bandits, contextual bandits, and custom trained models each need an order of magnitude more data than the last. Here's how to tell which rung your traffic actually supports.
A practical guide to choosing between the three core bandit algorithms. Compare Epsilon-Greedy, Thompson Sampling, and UCB1 on convergence speed, regret, tuning requirements, and real-world suitability.
A practical introduction to multi-armed bandit algorithms for website optimization. Learn how bandits balance exploration and exploitation to maximize conversions without wasting traffic.