Building a production-ready machine learning pipeline

In the last five years, machine learning generally -- and deep learning in particular -- has entered the mainstream. ML is now viewed as a critical component of the modern enterprise tech stack. IDC forecasts that AI and ML spend will expand from $12B in 2017 to $58B by 2021, a nearly 50% CAGR.

In this whitepaper, we break down the canonical ML pipeline, examine the constituent parts and configuration types, and take a look at why an ML pipeline might be valuable to your organization.