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articles/machine-learning/how-to-read-write-data-v2.md

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# Read and write data in a job
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> [!div class="op_single_selector" title1="Select the version of Azure Machine Learning CLI extension you are using:"]
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> * [v1](v1/how-to-train-with-datasets.md)
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> * [v2 (current version)](how-to-read-write-data-v2.md)
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[!INCLUDE [sdk v2](../../includes/machine-learning-sdk-v2.md)]
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[!INCLUDE [CLI v2](../../includes/machine-learning-CLI-v2.md)]
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articles/machine-learning/v1/how-to-train-with-datasets.md

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ms.subservice: mldata
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ms.author: yogipandey
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author: ynpandey
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ms.reviewer: nibaccam
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ms.reviewer: ssalgado
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ms.date: 10/21/2021
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ms.topic: how-to
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ms.custom: devx-track-python, data4ml, sdkv1, event-tier1-build-2022
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# Train models with Azure Machine Learning datasets
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> [!div class="op_single_selector" title1="Select the version of Azure Machine Learning CLI extension you are using:"]
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> * [v1](how-to-train-with-datasets.md)
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> * [v2 (current version)](../how-to-read-write-data-v2.md)
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[!INCLUDE [sdk v1](../../../includes/machine-learning-sdk-v1.md)]
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In this article, you learn how to work with [Azure Machine Learning datasets](/python/api/azureml-core/azureml.core.dataset%28class%29) to train machine learning models. You can use datasets in your local or remote compute target without worrying about connection strings or data paths.

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