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Writing Clean, Production-Level ML Code with Laszlo Sragner

ML Platform Podcast

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Data Drift Monitoring

Asla: I do think that mixing these two is very inconvenient, and we usually use our notebooks as an analytical tool. Christian asks what are your recommendations on data drift monitoring and drift monitoring by feature for production environments? Are there practices you recommend there? Asla: Clean architecture bounded contexts and this kind of high level organizational principle is one of the most important things what you need to do.

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