Use the studio to build and publish your experiments
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Complete reference of all modules you can insert into your experiment and scoring workflow
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Take a quick tour of the Azure ML Studio features.
Get, upload, and save data to your workspace.
Clean, transform, and normalize your data.
Learn the steps required for building, scoring and evaluating a predictive model.
Publish and stage your predictive model as an Azure-based service.