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A Meta-Summary of Challenges in Building Products with ML Components -- Collecting Experiences from 4758+ Practitioners
Incorporating machine learning (ML) components into software products raises new software-engineering challenges and exacerbates existing challenges.
Aspirations and Practice of Model Documentation: Moving the Needle with Nudging and Traceability
The documentation practice for machine-learned (ML) models often falls short of established practices for traditional software, which impedes model accountability and inadvertently abets inappropriate or misuse of models.
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process
The introduction of machine learning (ML) components in software projects has created the need for software engineers to collaborate with data scientists and other specialists.
The Influences of Pre-birth Factors in Early Assessment of Child Mortality using Machine Learning Techniques
In developing countries like Bangladesh, the early assessment of child mortality using pre-birth factors would be effective and feasible as it avoids the uncertainty of the post-birth factors.
