Data Science VM

The Data Science and Deep Learning Virtual Machines are customized VM images on Azure, loaded with data science tools used to build intelligent applications for advanced analytics. The Data Science VM is a customized VM image on Microsoft’s Azure cloud built specifically for data science work. It has many popular data science and other tools pre-installed and pre-configured to jumpstart building intelligent applications for advanced analytics. It is available on Windows Server and on Linux.
The Deep Learning VM is a specially-configured variant of the Data Science VM to make it more straightforward to use GPU-based VM instances for training deep learning models.
More details about the Data Science VMs are available in the Azure Data Science Virtual Machine Documentation. If you have a technical issue, please open a question on the developer forums through Stack Overflow.

  1. Useful to have script for post-provisioning config

    It would be great to have some script examples for post-provisioning the DSVM with say VS Pro, SSRS

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  2. Please add top Java Machine Learning frameworks

    The DSVM is currently missing a proper environment to develop enterprise applications for Machine Learning and Deep Learning with Java. Despite of the fact that all the Python frameworks are the best tools for modeling and research, to get ready for production the backend in most case is more suitable to be C++, C# or Java, to address performances, multi-threading and backward interoperability with enterprise systems (distributed or not).
    So I would suggest to add Java frameworks for Machine and Deep Learning like

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  3. R Studio is not stable on linux vm

    Hi Team,

    R studio is not stable on a Linux machine. R studio crashes. it tries to access a memory that either does not exist or should not be accessed.

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