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šāāļøMoving Fast and Breaking Data with Shreya Shankar
The MLOps Podcast
The Importance of Correlation in Data Validation
The main problem is it's really hard to specify. And then you get a lot of alerts that don't make sense. So we found two big causes. One is temporal patterns, and often data validation techniques may collect temporal patterns. The second cause was that ML pipelines can have a lot of correlated features.
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