Winning Approaches to Andrew Ng's Data-Centric AI Competition - Webinar
about the webinar
Listen in to learn the what, why, and how of data-centric AI. We discuss common problems and informed solutions to dataset curation and model-centric development, and reveal how we applied those techniques to place second in Andrew Ng's Data-Centric AI Challenge. Other topics include:
- Analysis of errors in benchmark datasets and their impact
- Growing the data-centric AI movement
- Key metrics for high-quality datasets
After our discussion, we took questions from the audience.