title | description | services | author | ms.service | ms.author | manager | ms.custom | ms.topic | ms.date |
---|---|---|---|---|---|---|---|---|---|
include file |
include file |
machine-learning |
sdgilley |
machine-learning |
sgilley |
cgronlund |
include file |
include |
10/04/2019 |
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Sign in to the Azure portal by using the credentials for your Azure subscription.
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In the upper-left corner of the Azure portal, select + Create a resource.
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Use the search bar to find Machine Learning.
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Select Machine Learning.
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In the Machine Learning pane, select Create to begin.
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Provide the following information to configure your new workspace:
Field Description Workspace name Enter a unique name that identifies your workspace. In this example, we use docs-ws. Names must be unique across the resource group. Use a name that's easy to recall and to differentiate from workspaces created by others. Subscription Select the Azure subscription that you want to use. Resource group Use an existing resource group in your subscription, or enter a name to create a new resource group. A resource group holds related resources for an Azure solution. In this example, we use docs-aml. Location Select the location closest to your users and the data resources to create your workspace. Workspace edition Select Enterprise. This tutorial requires the use of the Enterprise edition. The Enterprise edition is in preview and doesn't currently add any extra costs. -
After you're finished configuring the workspace, select Create.
[!WARNING] It can take several minutes to create your workspace in the cloud.
When the process is finished, a deployment success message appears.
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To view the new workspace, select Go to resource.