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Merge pull request #190486 from Blackmist/remove-tutorial
removing article per PM
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.openpublishing.redirection.json

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"redirect_url": "/azure/machine-learning/how-to-deploy-custom-docker-image",
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"redirect_document_id": true
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"source_path_from_root": "/articles/machine-learning/service/how-to-deploy-existing-model.md",
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"redirect_url": "/azure/machine-learning/how-to-deploy-and-where",

articles/machine-learning/how-to-create-image-labeling-projects.md

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## Next steps
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* [Tutorial: Create your first image classification labeling project](tutorial-labeling.md).
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<!-- * [Tutorial: Create your first image classification labeling project](tutorial-labeling.md). -->
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* [How to tag images](how-to-label-data.md)
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articles/machine-learning/toc.yml

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- name: 2. Deploy that model
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displayName: studio
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href: tutorial-designer-automobile-price-deploy.md
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- name: Label image data
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displayName: tag, tagging, images
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href: tutorial-labeling.md
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- name: Visual Studio Code
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items:
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- name: Train a TensorFlow image classification model

articles/machine-learning/tutorial-labeling.md

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includes/machine-learning-data-labeling-start.md

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Labeling projects are administered from Azure Machine Learning. You use the **Data Labeling** page to manage your projects.
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If your data is already in Azure Blob storage, you should make it available as a datastore before you create the labeling project. For an example of using a datastore, see [Tutorial: Create your first image classification labeling project](../articles/machine-learning/tutorial-labeling.md).
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If your data is already in Azure Blob storage, you should make it available as a datastore before you create the labeling project.
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