Some things I don’t like about the Oxford-Munich Code of Conduct
Read OriginalThe article analyzes and critiques the draft Oxford-Munich Code of Conduct for Professional Data Scientists. The author identifies three main issues: including non-normative organizational practices, failing to distinguish between 'should' and 'must' principles, and mandating specific technical choices. It provides a detailed technical argument against clauses on representative sampling and data retention, citing statistical theory and practical data science concerns.
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