Whenever you have multiple items to choose from, and are not sure which will result in the highest level of engagement or action, you have to make a choice. Multi-armed bandit, a branch of machine learning, is the fastest, most efficient method to make such a choice. This course examines a learn-as-you-go online learning method called reinforcement learning. Typical applications of multi-armed bandits include subject line testing for emails, button colors, page design/layout, and headline optimization. Anything you can test in the A/B fashion, you can do with bandits.
*This is a recorded webinar.
