Azure Machine Learning

Azure Machine Learning by Microsoft has recently been renamed Azure Machine Learning Studio. It is a comprehensive and simple browser-based, drag-and-drop creation software that requires no coding. All you need to go from an idea to execution is a mouse that can click. You don't need a long history of coding, tons of computer experience, or anything other than the idea in your head. Azure Studio is a cloud service that allows for the creation and deployment of analytics solutions. The program is so easy to learn that once you try it, you'll wonder why you ever tried predictive analytics solutions any other way. If you aren't sure where to begin, the Microsoft Azure website has several comprehensive tutorials to teach you how to use the interface and structure your projects. The Microsoft forum is also populated by Microsoft's engineers, who are happy to answer questions. If you're a data scientist or developer, Azure Studio will be a great tool for you. The software is optimized for applied machine learning. You can use pre-programmed algorithms and a simply designed drag-and-drop interface to move from idea to execution in just a few clicks. For developers who want built in data science, Microsoft's Azure Marketplace and APIs have a variety of options. Though there's no need for custom code with Azure Studio, you can still use it. If you're currently an R or Python user, you can utilize more than two hundred built-in packages and custom code supports. The Microsoft blog has specific instructions for how to integrate Machine Learning with Python and R coding. The data analytics solutions that you create can be published and shared with the Microsoft Gallery or the Azure Marketplace. People all over the world share their data experiments and real solutions. The Gallery is a learning platform designed to share scientific practices with the data science community - scientists from all over study the innovative uses of Azure Studio showcased in the Gallery.