What if a high-performance machine learning model doesn’t work in practice?

It’s not as rare as you might think. Researchers report that almost 70 to 80% of machine learning (ML) projects are not deployed in production due to a lack of planning, data, or integration.

It’s not the model. It’s the process of integrating machine learning models.

This article explains the process of integrating machine learning models in production. Each part flows into the next to make the whole system functional. Click here to read the full-text article