Rule of thumb: Which AI / ML algorithms to apply to business problems

Supervised learning: You know how to classify the input data and the type of behavior you want to predict, but you need the algorithm to calculate it for you on new data Unsupervised learning: You do not know how to classify the data, and you want the algorithm to find patterns and classify the data for you Reinforcement learning: An algorithm which learns by trial and error by interacting with the environment. You use it when you don't have a lot of training data; you cannot clearly define the ideal end state; or the only way to learn about the environment is to interact with it Reinforcement learning: An algorithm which learns by trial and error by interacting with the environment. You use it when you don't have a lot of training data; you cannot clearly define the ideal end state; or the only way to learn about the environment is to interact with it