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