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Data Science Virtual Machine - Windows 2016

Microsoft
Development and modeling tools for AI, data science and analytics
Support
Support

Data Science Virtual Machine - Windows 2016

Microsoft

Development and modeling tools for AI, data science and analytics

Please use the new URL on the Portal to create an instance of the Data Science Virtual Machine (Windows Server 2016 edition).

The 'Data Science Virtual Machine (DSVM)' is a 'Windows Server 2016 with Containers' VM & includes popular tools for data exploration, analysis, modeling & development.

Highlights:

  • Azure Machine Learning Service SDK
  • Anaconda Python
  • Microsoft ML Server - Dev Edition (Scalable R & Python)
  • SQL Server 2017 Dev. Edition - With In-Database R and Python analytics
  • Microsoft Office 365 ProPlus BYOL - Shared Computer Activation
  • Julia Pro + Juno Editor
  • Jupyter notebooks
  • Visual Studio Community Ed. + Python, R & node.js tools
  • Power BI Desktop
  • Deep learning tools e.g. Pytorch, CNTK, TensorFlow, Chainer, & mxnet
  • ML algorithm libraries e.g. xgboost, Vowpal Wabbit
  • Azure SDKs + libraries for various Azure Cloud offerings.
  • ML & Data Science tutorials as Jupyter notebooks
  • Tools for ML model operationalization as web services in the cloud, using Azure ML or Microsoft ML Server.

    Pre-configured with Nvidia drivers, CUDA Toolkit, & cuDNN library for GPU workloads available if using NC class VM SKUs.