Provision the Windows 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:** A newer version is available [**here**](https://gallery.cortanaintelligence.com/Tutorial/Windows-Data-Science-Virtual-Machine-2).
> **Note:** If you have already deployed this solution, click [here](https://start.cortanaintelligence.com/Deployments?type=datasciencevm) to view your deployment.
### Estimated Provisioning Time: 12 Minutes
> **STOP before you proceed** You need to accept the Terms of Use of the Data Science Virtual Machine on your Azure Subscription before you deploy this VM the first time by clicking [here](https://portal.azure.com/#blade/Microsoft_Azure_Marketplace/LegalTermsSkuProgrammaticAccessBlade/legalTermsSkuProgrammaticAccessData/%7B%22product%22%3A%7B%22publisherId%22%3A%22microsoft-ads%22%2C%22offerId%22%3A%22standard-data-science-vm%22%2C%22planId%22%3A%22standard-data-science-vm%22%7D%7D).
The Microsoft Data Science Virtual machine (VM) is a custom Azure VM based on Windows Server 2012 with several popular tools for data science modeling/development like:
* SQL Server 2016 Developer Edition
* Microsoft R server Developer Edition
* Anaconda Python with Juypter notebooks
* Visual Studio 2015 Community edition with language and Azure tools and
* ML and Deep Learning tools like xgboost, CNTK, mxnet
More information on how to use the VM can be found on the [documentation page](http://aka.ms/dsvmdoc).
If are wondering about things you can do with the DSVM read this [How-To Guide to the Data Science Virtual Machine](http://aka.ms/dsvmtenthings).
Here is a list of key software on the Data Science Virtual Machine and comparison between the Windows and Linux editions of the product.
[](https://caqsres.blob.core.windows.net/datasciencevm/DSVMEditionSidebySideComparison.png)
