Deploying a predictive model as a service (part-I)
Azure Machine Learning API service enables you to deploy predictive models build in Azure Machine Learning studio as scalable, fault tolerant Web services. Azure ML API service leverages Microsoft Azure for deployment, hosting and management of the Azure ML web services. Two types of services can be created using Azure ML API service. Batch Execution service for asynchronous, batch access and Request Response service for low-latency synchronous response. This video walks through creating a Web service graph for a predictive model and putting the predictive model into staging, using the Azure Machine Learning API service.