Did you know that Microsoft have made it really easy to get started using various data science tools? How, you ask! Well Microsoft have compiled a few Virtual Machine Images, ready to be spun up/provisioned on Azure – all you have to do is to select the data science flavor of your choice.
Microsoft Data Science Virtual Machine
The Microsoft Data Science Virtual Machine (DSVM) is pre-configured to enable you start right away doing data analysis and Machine Learning Modelling.
DSVM is available on Windows 2012 Server or OpenLogic 7.2 CentOS-based Linux Operating systems.
The main tools include:
- Microsoft R Server Developer Edition
- Anaconda Python distribution
- Jupyter notebooks for Python and R
- Visual Studio Community Edition with Python and R Tools
- Power BI desktop
- SQL Server Express edition
It also includes ML tools like:
- CNTK (an Open Source Deep Learning toolkit from Microsoft Research)
- Vowpal Wabbit
To get started, you must either have a MSDN subscription with Azure account, and Paid Azure account or the free evaluation Azure account.
Let asume that none of this is set-up, and I will walk you through the setup process of a free evaluation account (which will give you ~1300dkk worth of credit)
Free Azure Account:
Follow these steps to get a free account
- Open a browser and navigate to https://azure.microsoft.com/en-gb/free/
- Click the
- Sign in with you live-ID or hotmail account
- Fill in the informations
- Add a creditcard, only used for validation, no money is withdrawn from the card
- once done, click submit and you’re ready to explorer Azure.
Once you have decided on which flavor you would like to work on follow these steps.
- Go to this page https://azure.microsoft.com/en-gb/marketplace/partners/microsoft-ads/standard-data-science-vm/
- Click the
- Login on VM from Remote Desktop using the credentials you entered during the creation of the VM
- Click on the Start Menu to discover and launch many of the tools.
- Please have a look at the product documentation and the How-To guide on info about how to use the specific tools available on the VM and what tasks to be in your data science project.
- Go to this page https://azure.microsoft.com/en-gb/marketplace/partners/microsoft-ads/linux-data-science-vm/
- Click the
- Login to the VM from a SSH client like Putty or SSH command using the credentials you specified while creating the VM.
- On the shell prompt, type “dsvm-more-info.”
- For graphical desktop, you need to download X2Go client for your client platform from here and follow the instructions in the Linux DSVM documentation.
- Please have a look at the product documentation on info about how to use the specific tools available on the VM and what tasks to be in your data science project.