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Zhou Fang 2017-08-10 10:29:43 +08:00
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@ -13,9 +13,11 @@ Azure](https://azure.microsoft.com/free). This will then allow you to
deploy a [Ubuntu Data Science Virtual deploy a [Ubuntu Data Science Virtual
Machine](https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-data-science-virtual-machine-overview) Machine](https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-data-science-virtual-machine-overview)
through the [Azure Portal](https://ms.portal.azure.com). You can then through the [Azure Portal](https://ms.portal.azure.com). You can then
connect to the server's [RStudio connect to the server's [Jupyter Notebook](http://jupyter.org/) instance
Server](https://www.rstudio.com/products/rstudio/#Server) instance through a local web browser via ```https://<ip address>:8000```. Another
through a local web browser via ```http://<ip address>:8787```. alternative is to launch a remote desktop via X2Go (if it is a Linux DSVM),
and then run the code in a Rstudio desktop version.
**NOTE**: there is an issue with OpenSSL certificate so remote access to an R session with RStudio Server does not work.
The repository contains three parts The repository contains three parts