Notebook Model, Vendor Build or In-House Team: Three Ways to Ship ML
A model that scores well on a sample is a nice thing to have. It is also the point where a lot of teams stall, because the next decision is not technical. It is about who carries the work from a promising experiment to a system that runs every day and keeps working when the world shifts underneath…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-11-07 08:08 · DEV Community — Machine Learning
Notebook Model, Vendor Build or In-House Team: Three Ways to Ship ML