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articles/machine-learning/service/concept-automated-ml.md

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While model building is automated, you can also [learn how important or relevant features are](how-to-configure-auto-train.md#explain) to the generated models.
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> [!VIDEO https://www.youtube.com/embed/l8c-4iDPE0M]
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> [!VIDEO https://www.microsoft.com/videoplayer/embed/RE2Xc9t]
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<a name="preprocess"></a>
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articles/machine-learning/service/concept-model-management-and-deployment.md

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[!['Azure Machine Learning continuous integration/continuous deployment (CI/CD) cycle'](media/concept-model-management-and-deployment/model-ci-cd.png)](media/concept-model-management-and-deployment/model-ci-cd.png#lightbox)
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> [!VIDEO https://www.youtube.com/embed/0MaHb070H_8]
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> [!VIDEO https://www.microsoft.com/videoplayer/embed/RE2X1GX]
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## Step 1: Register model
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articles/machine-learning/service/how-to-auto-train-forecast.md

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* Configure specific time-series parameters in an [`AutoMLConfig`](/python/api/azureml-train-automl/azureml.train.automl.automlconfig) object
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* Run predictions with time-series data
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> [!VIDEO https://www.youtube.com/embed/mGr_c2UnOUI]
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> [!VIDEO https://www.microsoft.com/videoplayer/embed/RE2X1GW]
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## Prerequisites
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articles/machine-learning/service/ui-tutorial-automobile-price-train-score.md

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> A completed version of this tutorial is available as a sample experiment.
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> From the Experiments page, go to **Add New** > **Sample 1 - Regression: Automobile Price Prediction(Basic)**
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> [!VIDEO https://www.youtube.com/embed/VDKpDNX96aA]
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> [!VIDEO https://www.microsoft.com/videoplayer/embed/RE2X1GY]
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## Create a workspace

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