deleting extra coding

Author: v-dirichards

articles/machine-learning/data-science-virtual-machine/dsvm-tools-development.md

@@ -24,7 +24,7 @@ The Data Science Virtual Machine (DSVM) bundles several popular tools in one int
 | What is it? | A general purpose IDE |
 | Supported DSVM versions | Windows Server 2019: Visual Studio 2019 |
 | Typical uses | Software development |
-| How is it configured and installed on the DSVM? | Data Science Workload (Python and R tools)<br>Azure workload (Hadoop, Data Lake)<br>>Node.js<br>>SQL Server tools<br>[Azure Machine Learning for Visual Studio Code](https://github.com/Microsoft/vs-tools-for-ai) |
+| How is it configured and installed on the DSVM? | Data Science Workload (Python and R tools)<br>Azure workload (Hadoop, Data Lake)<br>Node.js<br>SQL Server tools<br>[Azure Machine Learning for Visual Studio Code](https://github.com/Microsoft/vs-tools-for-ai) |
 | How to use and run it | Desktop shortcut (`C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\Common7\IDE\devenv.exe`). Graphically, open Visual Studio by using the desktop icon or the **Start** menu. Search for programs (Windows logo key+S), followed by **Visual Studio**. From there, you can create projects in languages like C#, Python, R, and Node.js. |
 
 > [!NOTE]