The Case for Collaboration
Summary: Advocates collaboration between data systems and ML, not default deep learning; champions simple, efficient, interpretable models that rival deep nets in accuracy. Describes collaboration patterns, overcoming imposter syndrome, and unlocking researchers' personal superpowers. (summarized by gpt-5-nano on Feb 09 2026)
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