MLOps Week 2: Uber's Feature Store and Data Quality with Atindriyo Sanyal, Co-founder of Galileo
MLOps Weekly Podcast
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Contrasting Traditional Data Quality Tools and ML Data Quality Approach
Exploring the differences between Great Expectations and Galileo's methods in ensuring data quality for ML models, focusing on unit testing versus understanding model performance based on demographics.
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