Software Engineering for Machine Learning: Characterizing and Understanding Mismatch in ML Systems

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Tekijältä Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Player FM:n ja yhteisömme löytämä — tekijänoikeuksien omistajana on kustantaja eikä Player FM ja ääntä lähetetään suoraan heidän palvelimiltaan. Napsauta Tilaa -painiketta, kun haluat seurata Player FM:n päivityksiä tai liittää syötteen URL-osoitteen muihin podcast-sovelluksiin.

Mismatches between the perspectives and practices of the roles involved in the development and fielding of ML systems—data scientists, software engineers, and operations personnel—can affect the ability of systems to achieve their intended missions. In this SEI Podcast, Grace Lewis, a principal researcher and lead for the Tactical and AI-Enabled Systems Initiative, and Ipek Ozkaya, technical director of Engineering Intelligent Software Systems, discuss their research into characterizing, codifying, and mitigating such mismatches.

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