Experiment Tracking Tools
Sam discusses the selection of MLflow for experiment tracking due to its robust community support and unique features like model versioning. He emphasizes the importance of continuously retraining models to adapt to changing data patterns, especially in dynamic fields like energy pricing. By automating model deployment and maintaining historical predictions, teams can ensure their models remain relevant and effective.In this clip
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