Investment
From Notebook to Production: Shipping Machine Learning Projects This Weekend
A step-by-step guide to rapidly deploying a full-stack machine learning application Introduction We’ve built a fantastic machine learning model. It performs beautifully in notebooks, passes all tests, and promises significant business value. But a model isn’t truly valuable until it’s in production, serving real users and solving real problems. In this article, I’ll explore a […]