The Microsoft Data Science Virtual Machine, a Windows Server 2012-based custom virtual machine image on the Azure marketplace, is now available.
The image includes a number of popular tools that can be used by data scientists and developers for advanced analytics.
The Data Science Virtual Machine comes with Revolution R Open, Anaconda Python distribution including Jupyter notebook server, Visual Studio Community Edition, Power BI Desktop, SQL Server Express edition, and the Azure software development kit as pre-installed tools.
Microsoft Data Science Virtual Machine enables users to derive insights from their data and build predictive models and intelligent applications. Customers also have on-demand access to a data science development environment thanks to Azure’s worldwide cloud infrastructure.
Users have full administrative access to the virtual machine and can install additional software as required. Users can also further augment analytics on their data science virtual machine by leveraging the solutions in Microsoft’s Cortana Analytics Suite.
“The Microsoft Data Science Virtual Machine helps you create an analytics environment where you can rapidly build advanced analytics solutions for deployment to the cloud, on-premises or in a hybrid environment,” said Gopi Kumar, senior program manager in the Microsoft Data Group. “We encourage you to try the Microsoft Data Science Virtual Machine to jumpstart your analytics project.”
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