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Tackling Collaboration Challenges in the Development of ML-Enabled Systems

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posted on 2023-03-14, 03:09 authored by Grace LewisGrace Lewis

Collaboration on complex development projects almost always presents challenges. For traditional software projects, these challenges are well  known, and over the years a number of approaches  to addressing them have evolved. But as machine learning (ML) becomes an essential component of more and more systems, it poses a  new set of challenges to development teams. Chief among these challenges is getting data scientists (who employ an experimental  approach to system model development) and software developers (who rely  on the discipline imposed by software engineering principles) to work harmoniously. 


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