Merge branch 'master' of https://github.com/Microsoft/acceleratoRs

SolarPanelForecasting/README.md

@@ -13,9 +13,11 @@ Azure](https://azure.microsoft.com/free). This will then allow you to
 deploy a [Ubuntu Data Science Virtual
 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
-connect to the server's [RStudio
-Server](https://www.rstudio.com/products/rstudio/#Server) instance
-through a local web browser via ```http://<ip address>:8787```.
+connect to the server's [Jupyter Notebook](http://jupyter.org/) instance
+through a local web browser via ```https://<ip address>:8000```. Another 
+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