Monitor data drift with Azure Machine Learning

Intermediate
Data Scientist
Azure
Machine Learning
Azure Portal

Changing trends in data over time can reduce the accuracy of the predictions made by a model. Monitoring for this data drift is an important way to ensure your model continues to predict accurately.

Learning objectives

Learn how to monitor data drift in Azure Machine Learning.

Prerequisites

  • Knowledge of Python
  • Experience of training models using the Azure Machine Learning SDK