Good Data is Hard, but the Training Must Go On

What this episode covers

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

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Frequently Asked Questions

How long is this episode of The IQT Podcast?

This episode is 23 minutes long.

When was this The IQT Podcast episode published?

This episode was published on June 1, 2020.

What is this episode about?

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...

Can I download this The IQT Podcast episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.