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Merge pull request #95149 from nibaccam/drift-links
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articles/machine-learning/service/how-to-monitor-data-drift.md

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@@ -185,6 +185,8 @@ To do so, proceed with the following steps.
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## Next steps
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* For a full example of using data drift, see the [Azure ML data drift notebook](https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/monitor-models/data-drift/azure-ml-datadrift.ipynb). This Jupyter Notebook demonstrates using an [Azure Open Dataset](https://docs.microsoft.com/azure/open-datasets/overview-what-are-open-datasets) to train a model to predict the weather, deploy it to AKS, and monitor for data drift.
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* For a full example of using data drift, see the [Azure ML data drift notebook](https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/monitor-models/data-drift/drift-on-aks.ipynb). This Jupyter Notebook demonstrates using an [Azure Open Dataset](https://docs.microsoft.com/azure/open-datasets/overview-what-are-open-datasets) to train a model to predict the weather, deploy it to AKS, and monitor for data drift.
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* Detect data drift with [dataset monitors](how-to-monitor-datasets.md).
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* We would greatly appreciate your questions, comments, or suggestions as data drift moves toward general availability. Use the product feedback button below!

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