Data Quality Assurance
Ensuring high-quality, trustworthy data is crucial, especially in healthcare, where validation calls are common due to poor data quality. By leveraging a knowledge graph and employing an xgboost model with numerous variables, teams can predict data reliability and translate complex confidence scores into a user-friendly five-point scale. This collaboration between data science and product marketing is essential for delivering accurate information to end users.In this clip
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Super Data Science: ML & AI Podcast with Jon Krohn
SDS 561: Engineering Data APIs — with Nate Fox
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