Learn how Microsoft’s machine learning service in the cloud enables you to easily build, deploy and share advanced analytics solutions.
Azure Machine Learning offers a streamlined experience for all data scientist skill levels, from setting up with only a web browser, to using drag and drop gestures and simple data flow graphs to set up experiments. Machine Learning Studio features a library of time-saving sample experiments, R and Python packages and best-in-class algorithms from Microsoft businesses like Xbox and Bing. Azure ML also supports R and Python custom code, which can be dropped directly into your workspace. Experiments are easily shared, so others can pick up where you left off.
Azure Machine Learning is designed for applied machine learning, which means that in minutes your model is live as a fully managed web service that can connect to any data, anywhere. That is when the full power of machine learning is truly unleashed. As your needs change, you can easily update your solution and put it back into production, while still being able to revisit your previous results.
Now you’ve used the powerful algorithms running Microsoft businesses today, mixed and matched that with your own custom R or Python code and created a solution worth sharing. With a click, you can share your solution with the Azure Machine Learning community in the product Gallery. Take it even further, by monetizing and branding your solution on the Azure Machine Learning Marketplace and sharing it with the world.