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"It Comes in Notebooks": Changes and Challenges when Operationalizing ML Prototypes
Machine learning practitioners commonly prototype models in computational notebooks before transitioning them to automated production systems. Despite its prevalence, the concrete engineering work involved in this transition and the software quality concerns that motivate it remain insufficiently ch
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