Monitor data drift with Azure Machine Learning

Module
6 Units

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

Introduction min
Creating a data drift monitor min
Scheduling alerts min
Exercise - Monitor data drift min
Knowledge check min
Summary min