Managing Uncertainty
Peter discusses the importance of creating benchmarks to address uncertainty in machine learning projects. He emphasizes the need for clear objectives and evaluation metrics to prevent self-deception and ensure model performance. Lukas and Peter delve into the unique challenges ML teams face in stand-up meetings compared to engineering teams.In this clip
From this podcast
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Peter Skomoroch — Product Management for AI
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