Several Ways for Machine Learning Model Serving (Model as a Service)

Author(s): Edward Ma

Originally published on Towards AI.

Using Model as a Service (MaaS) on Cloud Platforms

Top highlight

Photo by Edward Ma on Unsplash

No matter how well you build a model, no one knows it if you cannot ship model. However, lots of data scientists want to focus on model building and skipping the rest of the stuff such as data ingestion and model serving. DevOps for data scientists is very important. There are multi ways to deliver your model serves as an API for the downstream product team.

Heard from time to time that data scientist does not know how to do the software engineering stuff. So they will only focus on model building and ignoring data… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI