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Merge pull request #217197 from lgayhardt/patch-130
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articles/machine-learning/v1/how-to-create-machine-learning-pipelines.md

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@@ -5,9 +5,9 @@ description: Create and run machine learning pipelines to create and manage the
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services: machine-learning
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ms.service: machine-learning
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ms.subservice: mlops
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ms.reviewer: sgilley
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ms.author: nilsp
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author: NilsPohlmann
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ms.reviewer: lagayhar
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author: xiaoharper
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ms.author: zhanxia
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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, contperf-fy21q1, sdkv1, event-tier1-build-2022
@@ -382,4 +382,4 @@ When you start a training run where the source directory is a local Git reposito
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- Use [these Jupyter notebooks on GitHub](https://aka.ms/aml-pipeline-readme) to explore machine learning pipelines further
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- See the SDK reference help for the [azureml-pipelines-core](/python/api/azureml-pipeline-core/) package and the [azureml-pipelines-steps](/python/api/azureml-pipeline-steps/) package
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- See the [how-to](how-to-debug-pipelines.md) for tips on debugging and troubleshooting pipelines=
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- Learn how to run notebooks by following the article [Use Jupyter notebooks to explore this service](../samples-notebooks.md).
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- Learn how to run notebooks by following the article [Use Jupyter notebooks to explore this service](../samples-notebooks.md).

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