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articles/machine-learning/service/tutorial-1st-experiment-sdk-setup.md

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@@ -20,6 +20,7 @@ In this tutorial, you:
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> [!div class="checklist"]
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> * Create an [Azure Machine Learning Workspace](concept-workspace.md) to use in the next tutorial.
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> * Clone the tutorials notebook to your folder in the workspace.
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> * Create a cloud-based Jupyter notebook VM with Azure Machine Learning Python SDK installed and pre-configured.
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If you don’t have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://aka.ms/AMLFree) today.
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1. Select the **tutorial-1st-experiment-sdk-train.ipynb** file in your **tutorials** folder.
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1. On the top bar, select a Notebook VM. You can select a VM created by any user of your workspace.
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1. On the top bar, select a Notebook VM to use to run the notebook. These VMs are pre-configured with everything you need to run Azure Machine Learning. You can select a VM created by any user of your workspace.
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1. If no VMs are found, select **+ New VM** to create the VM.
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