From notebook to reliable machine learning service

Understand the challenge

The engineering decisions that turn an experiment into a monitored, versioned, and maintainable service. This article proposes a directly usable method with clear assumptions and practical verification criteria.

Put it into practice

At Bâtir le Pays SARL, the useful question is always how this practice improves a real decision, service, or learning outcome.