Streamlining ML Workflows
Ville discusses the importance of self-contained workflows and the challenges of scaling ML infrastructure. Daniel emphasizes the iterative nature of ML projects and the need for continuous improvement post-deployment.In this clip
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From notebooks to Netflix scale with Metaflow
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