Media Summary: A machine learning model is only valuable when it works reliably in production. In this lesson, we connect the full What happens when a machine learning model leaves a Jupyter Notebook and enters production? This ML Ops, or Machine Learning OPS, is a discipline in AI that streamlines the end-to-end machine learning project development ...
Mlops Lifecycle Process Capabilities - Detailed Analysis & Overview
A machine learning model is only valuable when it works reliably in production. In this lesson, we connect the full What happens when a machine learning model leaves a Jupyter Notebook and enters production? This ML Ops, or Machine Learning OPS, is a discipline in AI that streamlines the end-to-end machine learning project development ... Building a great model is the easy part — keeping it alive in production is where most AI projects fail. The
