At Strata + Hadoop World, Microsoft today announced that the general availability of Azure Machine Learning, and the availability of Informatica technology on Azure. It is a first-of-its-kind, managed cloud service for advanced analytics that makes it dramatically simpler for businesses to predict future trends with data. In mere hours, developers and data scientists can build and deploy apps to improve customer experiences, predict and prevent system failures, enhance operational efficiencies, uncover new technical insights, or a universe of other benefits.
We built Azure Machine Learning to democratize machine learning. We wanted to eliminate the heavy lifting involved in building and deploying machine learning technology and make it accessible to everybody. Supporting open source innovation and enabling breakthrough learning capabilities with big data were important. So were supporting community-driven development and the ability for developers to easily create and monetize cloud-hosted APIs and applications. Most importantly, we wanted our customers to easily leverage future advancements in data science.
Also, now you can use the Anaconda distribution of Python along with its rich ecosystem of libraries such as numpy, scipy, pandas, scikit-learn, etc. directly in Azure Machine Learning Studio. Same with R, and you even build experiments/web services that compose Python, R and Microsoft’s machine learning algorithms in a single workflow.
Read more about it here.