Azure Machine Learning vs Restlet Studio: What are the differences?
Developers describe Azure Machine Learning as "A fully-managed cloud service for predictive analytics". Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning. On the other hand, Restlet Studio is detailed as "The first browser-based IDE for APIs". Packaged as a Chrome extension and accessible from any modern web browser, Restlet Studio instantly provides to any developer powerful API crafting capabilities. Through an intuitive interface, developers can visually define all the elements of a web API, and automatically generate the client SDK and server skeleton of their API.
Azure Machine Learning can be classified as a tool in the "Machine Learning as a Service" category, while Restlet Studio is grouped under "API Tools".
Some of the features offered by Azure Machine Learning are:
- Designed for new and experienced users
- Proven algorithms from MS Research, Xbox and Bing
- First class support for the open source language R
On the other hand, Restlet Studio provides the following key features:
- Visual Crafting of APIs
- RESTful APIs Made Easy
- No Wasted Configuration Time