Today, we're extremely happy to launch Amazon SageMaker Autopilot to automatically create the best classification and regression machine learning models, while allowing full control and visibility. In 1959, Arthur Samuel defined machine learning as the ability for computers to learn without being explicitly programmed. In practice, this means finding an algorithm than can extract patterns from an existing data set, and use these patterns to build a predictive model that will generalize well to new data. Since then, lots of machine learning algorithms have been invented, giving scientists and engineers plenty of options to choose from, and helping them build amazing applications. However, this abundance of algorithms also creates a difficulty: which one should you pick?