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Update how-to-consume-web-service.md
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articles/machine-learning/service/how-to-consume-web-service.md

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#Customer intent: As a developer, I need to understand how to create a client application that consumes the web service of a deployed ML model.
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# How to consume an Azure ML model deployed as a web service
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# Consume an Azure Machine Learning model deployed as a web service
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Deploying an Azure Machine Learning model as a web service creates a REST API. You can send data to this API and receive the prediction returned by the model. In this document, learn how to create clients for the web service using C#, Go, Java, and Python.
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## Next steps
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Now that you have learned how to create a client for a deployed model, learn how to [Deploy a model to an IoT Edge device](how-to-deploy-to-iot.md).
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Now that you have learned how to create a client for a deployed model, learn how to [Deploy a model to an IoT Edge device](how-to-deploy-to-iot.md).

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