Microsoft releases Linux version of the Data Science Virtual Machine

Kit McDonald

Since November 2015, scientists and developers have had access to the Microsoft Data Science Virtual Machine. This VM is a Windows Server 2012 -based image on the Azure marketplace with tools that can be used for conducting advanced analysis, building predictive models, and deriving insights from intelligent applications.

Today, the Senior Program Manager of Microsoft Data Group posted an announcement that they have now brought the Data Science Virtual Machine to Linux. Gopi Kumar writes:

This is a custom VM image built on the OpenLogic CentOS-based Linux version 7.2 and contains several popular data science tools used by data scientists, developers, educators and researchers. Some of the common uses for the Data Science Virtual Machine include: performing advanced analytics to gain insights from data, building intelligent applications, running data science education/training classes, and running hackathons and competitions.

With the technology of Azure’s cloud, users are able to save a lot of time and effort that would normally be taken to manually set up their own developing environment. Along with the usual Linux utilities and shell, the VM includes a long list of pre-installed tools including Machine Learning, Development Tools, and Microsoft R Open. For a full list, visit the official Microsoft blog.

Both Windows and Linux Data Science Virtual Machines are available on the Azure marketplace now. More detailed and technical information can be located on the Microsoft Azure webpage. It’s also worth noting that Azure continues to promote a one-month free trial and credit of $200 to spend on the marketplace.