Performance Concerns
Daniel and Peter discuss the concerns around performance when recoding models into other languages, particularly in terms of execution speed, efficiency, and latency. They explore the optimization of numerical computing in Python and the potential bottlenecks in pure Python code. Surprisingly, data scientists do not identify recoding models as a major roadblock to production, with other concerns such as skills gap and IT security standards taking precedence.In this clip
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