Reinforcement Learning vs. Evolutionary Strategy: combine, aggregate, multiply

A birds-eye view of main ML algorithms In statistics, we have descriptive and inferential statistics. ML deals with the same problems and claims any problem where the solution isn’t programmed directly, but is learned by the program. ML generally works by numerically minimising something: a cost function or error. Supervised learning – You have labeled data: a sample of ground truth … Continue reading Reinforcement Learning vs. Evolutionary Strategy: combine, aggregate, multiply