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articles/machine-learning/concept-environments.md

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@@ -21,7 +21,7 @@ You can use an `Environment` object on your local compute to:
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* Reuse the same environment on Azure Machine Learning Compute for model training at scale.
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* Deploy your model with that same environment.
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The following diagram illustrates how you can use a single environment object in both your run configuration, for training, and your inference and deployment configuration, for web service deployments.
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The following diagram illustrates how you can use a single `Environment` object in both your run configuration, for training, and your inference and deployment configuration, for web service deployments.
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![Diagram of an environment in machine learning workflow](./media/concept-environments/ml-environment.png)
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