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Comment by tyfon | Hacker News Reader

I got to test this tomorrow at work, however loading up a huge program instead of a web page where all the stuff is stored on a server is going to require some changes in behavior.

And I usually work from Linux, so it will be in a VM. But I'll try :)

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Understood. RTVS itself is 3MB's. Hopefully you won't have to install VS more than once or twice a year as it's several Gigs...

Speaking of a web page, our team also did "Jupyter notebooks as a Service" on Azure ML. You can fire up a notebook quickly and code away - essentially like tmpnb if you've used it, but your notebook is persisted.

we'll be adding more languages soon. Try one of the samples at: (no login), or start w blank notebook in the Azure ML Studio:

https://gallery.cortanaanalytics.com/browse/?categories=[%22...

Thank you, I will.

Is it easy to connect these to local data sources or do I have to upload csv's or something similar? Being a bank we store data locally in both PostgreSQL and MS SQL, although we are considering moving some stuff to Azure anyway. Just have to clear it with the legal guys!

I guess I can make a quick export of non personified data for testing though.

For Azure ML, some people use it fully in the cloud, others do local work in their favorite IDE, usually RStudio, then upload scripts, do their training, opertionalization, etc. on Azure. If you are using standard R, Python (eg scikit-learn) you can do work locally or on AzureML, but if you want to use Azure ML's own algos, then they're available only on the cloud.

There are also some sample experiments + data on Azure ML that you can check out quickly (no log in):

https://gallery.cortanaanalytics.com/experiments

Where is the link to this exactly? I only see things like the following, which still require rolling a VM and setting it up yourself:

https://azure.microsoft.com/en-us/documentation/articles/vir...

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