S
SE-ML
SE-ML is a research initiative cataloging engineering best practices for machine learning systems. Their framework covers 46 practices across 6 categories: Data, Training, Coding, Deployment, Team, and Governance -- providing actionable guidance for building production-quality ML systems.
Machine Learning
Engineering
Best Practices
MLOps
AI Governance
Published OOS Files
No published OOS files yet.
This expert has not published any coordination intelligence.