MLS allows me to set up data experiments by running through various regression and other machine learning algorithms, with different data cleaning and treatment tools. All of this can be achieved via drag and drop, and a few clicks of the mouse.
Microsoft Azure Machine Learning Studio offers flexibility with R and Python integration, powerful AutoML automation, and scalability for concurrent experiments. It provides seamless Azure service integration and simplifies model deployment for varied expertise levels. Improvements could include more machine learning algorithms, enhanced R integration, and streamlined setup. A clear, affordable pricing model, better non-Microsoft platform integration, robust AutoML, and data preparation enhancements are also necessary to increase its appeal.
