Aquarium: Dataset Quality Improvement with Peter Gao

Peter Gao, a member of the Aquarium team, discusses the role of Aquarium in improving dataset quality for machine learning models. The podcast explores the challenges of understanding and improving datasets, addresses bias in machine learning models, and discusses the current state of machine learning and its future. It also touches on the customer onboarding process, the software stack used for data visualization, and the potential of machine learning in practical improvements.