Good Data is Hard, but the Training Must Go On

When it comes to good datasets, which is more important: quality or quantity? This episode explores three different IQT Labs projects across different domains, specifically examining quality and quantity considerations. Hear about the parallels between our projects within the geospatial, biotechnology, and synthetic data domains, as well as lessons learned about good training data characteristics.

Learn more:

• Machine Learning Robustness Study