metadata

Author: lgayhardt

articles/machine-learning/v1/how-to-create-machine-learning-pipelines.md

@@ -5,9 +5,9 @@ description: Create and run machine learning pipelines to create and manage the
 services: machine-learning
 ms.service: machine-learning
 ms.subservice: mlops
-ms.reviewer: sgilley
-ms.author: nilsp
-author: NilsPohlmann
+ms.reviewer: lagayhar
+author: xiaoharper
+ms.author: zhanxia
 ms.date: 10/21/2021
 ms.topic: how-to
 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
 - Use [these Jupyter notebooks on GitHub](https://aka.ms/aml-pipeline-readme) to explore machine learning pipelines further
 - 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
 - See the [how-to](how-to-debug-pipelines.md) for tips on debugging and troubleshooting pipelines=
-- Learn how to run notebooks by following the article [Use Jupyter notebooks to explore this service](../samples-notebooks.md).
+- Learn how to run notebooks by following the article [Use Jupyter notebooks to explore this service](../samples-notebooks.md).