Getting a Grip on Data and Model Drift with Azure Machine Learning

Getting a Grip on Data and Model Drift With Azure Machine Learning

By Natasha Savic and Andreas Kopp

Change is the only constant in life. In machine learning, it shows up as drift of data, model predictions, and decaying performance, if not managed carefully.

Data drift may compromise the reliability of ML models

In this article, we discuss data and model drift and how it affects the performance of production models. You will learn methods to identify and to mitigate …

azure azure-machine-learning data data-drift learning machine machine learning mlops model-drift