Developers lack programming models for probabilistic ML outputs, says Kathryn McKinley
Kathryn McKinley · Kathryn McKinley · Jul 28, 2017 · at 1:45
Kathryn McKinley, Principal Researcher at Microsoft Research, introduces the core problem behind Uncertain<T>, arguing that modern software tools are ill-equipped for non-deterministic application outputs.
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“Image understanding and all sorts of applications we're using today aren't giving us perfect answers, yet we don't have the tools to interpret those answers. We don't have the programming models”
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