Deploying a Predictive Model with Azure Machine Learning

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Machine learning can analyze large volumes of data to help you make more sound business decisions. Take the case of a restaurant owner, who would like to know the best location to open a new eatery. But taking time to sift through hundreds or thousands of data points to find the best city or neighborhood can be overwhelming. This is where utilizing machine learning can be helpful.

In this lab, you’ll learn to apply the above business example and discover how to deploy a predictive model as a Web service in Azure Machine Learning.

Download the lab and you’ll:

  • Receive a walk-through of how to copy an experiment from the Azure Machine Learning Gallery into the ML Studio 
  • Learn how to create a scoring experiment
  • Learn how to deploy a model as a Web service
  • Learn how to interact with the API using the included Web interface

BlueGranite developed this material in conjuction with Microsoft, and the lab and its contents are property of Microsoft. Microsoft holds no legal obligations on quality or performance of the lab material.   Fill out the form below to get access to the step-by-step lab document.  Click here for additional hands-on labs.

download Deploying predictive models lab