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articles/machine-learning/tutorial-pipeline-batch-scoring-classification.md

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[!INCLUDE [applies-to-skus](../../includes/aml-applies-to-basic-enterprise-sku.md)]
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Learn how to build a pipeline in Azure Machine Learning to run a batch scoring job. Machine learning pipelines optimize your workflow with speed, portability, and reuse, so you can focus on machine learning instead of infrastructure and automation. After you build and publish a pipeline, you configure a REST endpoint that you can use to trigger the pipeline from any HTTP library on any platform.
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In this advanced tutorial, you learn how to build a pipeline in Azure Machine Learning to run a batch scoring job. Machine learning pipelines optimize your workflow with speed, portability, and reuse, so you can focus on machine learning instead of infrastructure and automation. After you build and publish a pipeline, you configure a REST endpoint that you can use to trigger the pipeline from any HTTP library on any platform.
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The example uses a pretrained [Inception-V3](https://arxiv.org/abs/1512.00567) convolutional neural network model implemented in Tensorflow to classify unlabeled images. [Learn more about machine learning pipelines](concept-ml-pipelines.md).
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