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Update concept-azure-machine-learning-v2.md
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articles/machine-learning/concept-azure-machine-learning-v2.md

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To learn more about using a datastore, see [Create and manage data assets](how-to-create-data-assets.md).
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## Model
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Azure Machine Learning models consist of the binary file(s) that represent a machine learning model and any corresponding metadata. Models can be created from a local or remote file or directory. For remote locations `https`, `wasbs` and `azureml` locations are supported. The created model will be tracked in the workspace under the specified name and version. Azure Machine Learning supports three types of storage format for models:

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