From the course: Microsoft Azure Data Scientist Associate (DP-100) Cert Prep

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Manage a workspace by using developer tools for workspace interaction

Manage a workspace by using developer tools for workspace interaction - Azure Tutorial

From the course: Microsoft Azure Data Scientist Associate (DP-100) Cert Prep

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Manage a workspace by using developer tools for workspace interaction

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- Microsoft Azure machine learning studio has three core components. First, we have the ability to author certain assets. For example, select a new Jupyter notebook, create a new automated machine learning job, or dive into the designer. In terms of assets, a second category, you have the ability to manage and create data sets, manage jobs, look at components, pipelines, environments, models and endpoints, all things that help with doing machine learning operations. And then in terms of compute, you have the ability to create compute resources here. Let's go ahead and really briefly look at a few of these key areas. Start with under notebooks here, you can see here that if I wanted to, I could start a notebook and I could, in fact, associate a new notebook with a compute cluster. Another thing I could do as well is I could start a auto ML job. So if we go back here, you can see I've got previous auto ML jobs here, and I could go through here and explore them or create a new one. I…

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