Amazon SageMaker Autopilot automatically builds, trains, and tunes machine learning models in the cloud based on your data, while maintaining full control and visibility.Typically, to build a machine learning (ML) model you need to manually prepare data, test different algorithms, and optimize model parameters to find the best approach for your data. This is time consuming and requires specialized expertise. An alternative is to use fully automated machine learning methods (AutoML), but these methods often do not provide insight into how data affect model predictions. As a result, they are not reproducible, and do not provide visibility into how they make decisions, so are less reliable.Amazon SageMaker Autopilot provides a middle ground between these two approaches. It lets you provide a dataset, have SageMaker automatically identify, train, and tune the best ML models for the data, and get in-depth visibility into how the model is working and why it generates its predictions.