Azure Machine Learning studio allows us to easily design and deploy predictive models as web service. It takes away all the complexity of writing algorithms and gives us an easy to use interface to drag and drop data and design components and prepare the data model swiftly. It also makes it easy to deploy the model as a web service, which users can use to get the predicted values. In this lab, we’ll first create a simple data model to predict values and will then deploy it as a web service. In the first exercise, we will learn to design a data model. In the second exercise, we will learn to deploy the data model as a web service. In the third exercise, we will learn to access the deployed web service using C#.
Exercise 1: Designing a Data Model
Exercise 2: Deploy the Data Model as Web Service
Exercise 3: Access the Deployed Web Service Using C#
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