Dealing with failed projects
Read OriginalThe article discusses the high probability of failure in data science projects and proposes practical strategies to handle them. It advises making failure an option from the start through collaborative risk analysis with stakeholders and planning realistically with built-in slack time to shift failure from a silent, personal burden to a public, collective learning experience.
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