The key advantage of setting up Microsoft Azure Data Science Windows 2016 Virtual Machine instead of a regular virtual machine is that it comes pre-installed with major data science tools and saves a lot of time for making data science machines functional to start doing the actual data science work. Microsoft Azure Data Science Windows 2016 Virtual Machine also comes pre-installed with compute GPU based on NVidia drivers as unified support for deep learning data science problems, their evaluation, and their solution.
Here is the list of some of the data science-related tools that come pre-installed with Microsoft Azure Data Science Windows 2016 Virtual Machine.
- Microsoft R Server - Developer Edition (Scalable R).
- Anaconda Python.
- SQL Server 2017 - Developer Edition with in-database R & Python analytics.
- Microsoft Office 365 ProPlus - Shared Computer Activation.
- Julia Pro + Juno Editor.
- Jupyter Notebooks.
- Visual Studio Community Edition with Python, R & Node.js tools.
- Power BI Desktop.
- Weka.
- Git.
- R Studio.
- NVidia drivers, CUDA toolkit & NVidia CUDNN library for GPU pre-configure & tested.
- Deep learning tools, like Microsoft Cognitive Toolkit (CNTK 2.1), TensorFlow, & MXnet.
- Machine Learning algorithm libraries, such as - Xgboost, Vowpal Wabbit.
- Azure SDK & libraries for various cloud offerings. Integration tools are included for,
- Azure Machine Learning.
- Azure Data Factory.
- Stream Analytics.
- SQL Data Warehouse.
- Hadoop + Apache Spark (HDInsight Cluster).
- Data Lake.
- Blob Storage.
- Machine Learning & Data Science Tutorials as Jupyter Notebooks.
In today's article, I shall demonstrate how to make remote desktop connections to Microsoft Azure Data Science Windows 2016 Virtual Machine into our Microsoft Azure paid subscription account.
Following are some prerequisites before you proceed any further in this tutorial.
- Microsoft Azure Account with a paid subscription.
- You have already created your target Data Science Windows 2016 Virtual Machine on Azure Portal.
Let's begin the fun.
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From the above screen, you have the connection information to access your Data Science Windows 2016 Virtual Machine. Copy your machine's public IP address.
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