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» Module 3 - Critically Evaluating Papers and Tools

How to Critically Appraise Dataset Quality and Appropriateness (M3-01)


Description
ESR Master Class in AI

"How to Critically Appraise Dataset Quality and Appropriateness"

Laure Fournier
University Paris Cité, Assistance Publique-Hôpitaux de Paris, France

Learning objectives:
• To know how to build a dataset for training of AI algorithms
• To understand how datasets will impact performance of AI models
• To learn how to reliably define ground truth
Content
  • Video
  • Literature
  • Test
  • Feedback
Completion rules
  • All units must be completed
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