Consuming Azure Machine Learning in ASP.NET Core

Azure Machine Learning (ML) provides the infrastructure for building custom machine learning models. Once an Azure ML predictive model is deployed as a web service, a REST API is used to communicate with the model to evaluate predictions. Azure ML web services are REST API and JSON formatted messages that can be consumed by a wide range of devices and platforms. These web services are secured through a private API key, thus exposing these services to some clients requires a server layer to mediate between the client. In this article we'll build an ASP.NET Core application that can consume an Azure web service.