Linux Data Science Virtual Machine

By for February 22, 2017

Report Abuse
Provision the Linux Data Science Virtual Machine, a custom virtual machine image pre-installed and configured with a host of popular tools commonly used for data science and machine learning.
> **Note:** If you have already deployed this solution, click [here]( to view your deployment. ### Estimated Provisioning Time: 3 Minutes [![Take a free test drive](]( > **STOP before you proceed to Deploy** You need to accept the Terms of Use of the Linux Data Science Virtual Machine on your Azure Subscription before you deploy this VM the first time by clicking [here]( **This does not apply to free test drive.** The Linux Data Science Virtual machine (DSVM) is a custom Azure VM built on OpenLogic CentOS 7.2 based Linux with several popular tools for data science modeling/development like: * Microsoft R Server Developer Edition * Anaconda Python distribution, * JupyterHub - a multiuser Jupyter notebooks server supporting Python and R * Postgres database * Eclipse, Azure tools, libraries to access various Azure services like AzureML, databases, big data services. * ML and Deep learning tools like xgboost , CNTK. More information on how to use the VM can be found on the [documentation page]( If are wondering about things you can do with the DSVM read this [How-To Guide to the Linux Data Science Virtual Machine]( Here is a list of key software on the Data Science Virtual Machine and comparison between the Windows and Linux editions of the product. [![DSVM Feature Matrix](](