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Software Engineering for Machine Learning: Characterizing and Understanding Mismatch in ML Systems
Mismatches between the perspectives and practices of the roles involved in the development and fielding of ML systems\u2014data scientists, software engineers, and operations personnel\u2014can 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.