I continue a series on low-code machine learning with Azure ML:
In the prior episode of this series, we built a real-time endpoint, showed how to call it, and saw how to make some minor changes to a real-time inference pipeline.
Today, we’re going to show off bulk processing.
This pretty much wraps up the series, though I do have plans of a series covering code-heavy Azure ML development.