10 typical tasks the Microsoft Data Science Virtual Machine can help you do easier

The Microsoft Data Science Virtual Machine (DSVM) delivers a powerful development environment for data analytics and modeling tasks. The DSVM makes it easy to get started quickly with data science projects for cloud, on-premises or hybrid deployments. “Ten things you can do on the Data science Virtual Machine” describes how to use the DSVM to perform typical tasks you may encounter as part of your analytics projects. Some of these include: exploring data and developing models locally on the DSVM using Microsoft R Server or Python, sharing code with your team using GitHub and accessing your repository using pre-installed Git clients, and using a Jupyter notebook to experiment with your data on a browser using Python 2, Python 3 or R. The DSVM will save time that would otherwise be spent…


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