Build and Deploy a Machine Learning Model with Azure ML Service - The New Stack

This article is a post in a series on bringing continuous integration and deployment (CI/CD) practices to machine learning. Check back to The New Stack for future installments. For the background and context, we strongly recommend you to read the previous article on the rise of ML PaaS followed by the article on the overview of Azure ML service. In this tutorial, we will build and deploy a machine model to predict the salary from the Stackoverflow dataset. By the end of this, you will be able to invoke a RESTful web service to get the predictions.