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

from Software Engineering Institute (SEI) Podcast Series

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.

Episode metadata supplied by the publisher feed · Published Nov 18, 2021

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This episode was published on November 18, 2021.

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