Feature Store Insights
The feature store plays a crucial role in ensuring data consistency between training and prediction phases, helping to avoid training and serving skew. Real-time and offline use cases are both supported, with the feature store serving different databases for each scenario. This distinction is vital for maintaining efficiency and accuracy in machine learning workflows.In this clip
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MLOps Coffee Sessions #11: Analyzing “Continuous Delivery and Automation Pipelines in ML" // Part 3
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