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End-to-End ML for Equipment Failures

HardSystem Design00:00
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Your question is End-to-End ML for Equipment Failures. Take a moment with it on the right.

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Problem

Design an end-to-end ML system for predicting equipment failures in an energy grid, including data ingestion, feature engineering, model serving, monitoring, and retraining for Con Edison.