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articles/machine-learning/how-to-set-up-training-targets.md

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articles/machine-learning/v1/concept-model-management-and-deployment.md

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@@ -146,7 +146,7 @@ Microsoft Power BI supports using machine learning models for data analytics. Fo
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Azure ML gives you the capability to track the end-to-end audit trail of all of your ML assets by using metadata.
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- Azure ML [integrates with Git](how-to-set-up-training-targets.md#gitintegration) to track information on which repository / branch / commit your code came from.
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- Azure ML [integrates with Git](../concept-train-model-git-integration.md) to track information on which repository / branch / commit your code came from.
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- [Azure ML Datasets](how-to-create-register-datasets.md) help you track, profile, and version data.
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- [Interpretability](../how-to-machine-learning-interpretability.md) allows you to explain your models, meet regulatory compliance, and understand how models arrive at a result for given input.
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- Azure ML Run history stores a snapshot of the code, data, and computes used to train a model.

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