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Update articles/machine-learning/how-to-troubleshoot-environments.md
Co-authored-by: Louie Larson <[email protected]>
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articles/machine-learning/how-to-troubleshoot-environments.md

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@@ -26,7 +26,7 @@ Environments are managed and versioned assets within your Machine Learning works
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Environments can broadly be divided into three categories: curated, user-managed, and system-managed.
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Curated environments are pre-created environments that are managed by Azure Machine Learning (AzureML) and are available by default in every workspace provisioned.
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Curated environments are pre-created environments that are managed by Azure Machine Learning (AzureML) and are available by default in every workspace.
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Intended to be used as is, they contain collections of Python packages and settings to help you get started with various machine learning frameworks.
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These pre-created environments also allow for faster deployment time.

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