A/B testing versus Multi-armed bandits
This escalated quickly into a robbery of A/B testing
In my previous article, I stated numerous drawbacks of A/B testing when it comes to fixed sample sizes, the slow learning, and the insufficient insights you get out of A/B testing (unless a data analyst spends a tremendous amount of time manually analyzing the outcome).
General background (no worries, we dive into the details later)
Essentially, A/B testing is an exploration technique where we explore what would be the…