Windows Data Science Virtual Machine (DSVM) update brings in some interesting new tools to help you be more productive with data science. In addition, a Linux Edition of the data science virtual machine is available as well.
“DSVM helps you focus more on data science and spend less time on installing, configuring and administering tools, thereby making you more productive.”
Below is a summary of recent key changes:
Microsoft R Server 9.0.1 (MRS9) developer edition, is now available on the VM, and brings some exciting changes including several fast ML / deep learning algorithms developed in a new library called Microsoft ML.
“There’s a new architecture and interface for deploying R models and functions as web services, this follows a paradigm and interface library very similar to Azure ML operationalization. The library is called mrsdeploy. We have some R deployment samples for both notebook and R Tools for Visual Studio (RTVS) and RStudio. The olapR package in Microsoft R Server lets you run MDX queries and connect directly to OLAP cubes on SQL Server 2016 Analysis Services from your R solution. SQL Server 2016 Developer edition and the associated Microsoft R In-DB analytics is also updated to Service Pack 1.”
R Studio Desktop open source edition, is now preinstalled into the VM.
R Tools for Visual Studio version 0.5, bring in multi-window plotting and SQL tooling to run R code on SQL Server 2016.
Microsoft Cognitive Toolkit (formerly CNTK) version 2 Beta 6, features several improvements and sample notebooks to perform fast deep learning using Python interface or the CNTK Brainscript interface.
Apache Drill, a SQL based query tool that can work with various data sources and formats (e.g. JSON, CSV), is now “prepackage and configure drivers to access various Azure data services such as Blobs, SQLDW/Azure SQL, HDI and Document DB,” writes the team.
JuliaPro available to DSVM as pre-installed and pre-configured on the VM. It’s a curated distribution of open source Julia language along with a set of popular packages for scientific computing, data science, AI and optimization. “JuliaPro distribution comes with an Atom based IDE, Jupyter notebooks and several sample notebooks on the DSVM Jupyter instance to help you get started.”
Julia Computing also provides an Enterprise edition with commercial support.
Deep Learning Toolkit for Windows DSVM extension now include latest versions of CNTK 2, mxNet for GPU along with new samples. It also features Windows version of TensorFlow.
“DLT is an extension help jump start deep learning on Azure GPU VMs, and without having to spend time installing GPU framework dependencies and drivers or configuring various deep learning tools,” writes Microsoft team.
Below you can find the resources to get you started on Windows, and Linux:
- Windows Edition:
- Link to Create DSVM instance
- Link to Create DSVM instance for deep learning on GPU
For more inforamtion, watch the inside DSM video below: