Improving Dataset Quality with Aquarium

The chapter discusses the importance of data in improving model performance and the challenges faced in understanding and improving data sets. It introduces Aquarium, a tool aimed at providing ML teams with better data set understanding and improvement capabilities. The chapter explains how Aquarium allows users to manage and analyze their dataset, identify issues like incorrect labels, and take corrective action by integrating with labeling providers.