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Merge pull request #9580 from dzeyelid/master
Little fixes in Machine Learning docs.
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articles/machine-learning/data-science-virtual-machine/dsvm-ubuntu-intro.md

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@@ -147,7 +147,7 @@ After you sign in to the VM by using either the SSH client or XFCE graphical des
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The Ubuntu DSVM runs [JupyterHub](https://github.com/jupyterhub/jupyterhub), a multi-user Jupyter server. To connect, browse to https://your-vm-ip:8000 on your laptop or desktop, enter the username and password that you used to create the VM, and log in. Many sample notebooks are available for you to browse and try out.
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JupyterLab, the next generation of Jupyter notebooks and JupyterHub, is also available. To access it, log in to JupyterHub, then browse to the URL https://your-vm-ip:8000/lab. You can set JupyterLab as the default notebook server by adding this line to /etc/jupyterhub/jupyterhub_config.py:
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JupyterLab, the next generation of Jupyter notebooks and JupyterHub, is also available. To access it, log in to JupyterHub, then browse to the URL https://your-vm-ip:8000/user/your-username/lab. You can set JupyterLab as the default notebook server by adding this line to /etc/jupyterhub/jupyterhub_config.py:
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c.Spawner.default_url = '/lab'
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articles/machine-learning/desktop-workbench/tutorial-classifying-iris-part-2.md

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>The IP address can also be a publicly addressable fully-qualified domain name (FQDN) such as `vm-name.southcentralus.cloudapp.azure.com`. It is a good practice to add an FQDN to your DSVM and use it instead of an IP address. This practice is a good idea because you might turn off the VM at some point to save on cost. Additionally, the next time you start the VM, the IP address might have changed.
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>[!NOTE]
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>In addition to username and password authentication, you can specify a private key and the corresponding passphrase (if any) using the `--private-key-file` and (optionally) the `--private-key-passphrase` options.
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>In addition to username and password authentication, you can specify a private key and the corresponding passphrase (if any) using the `--private-key-file` and (optionally) the `--private-key-passphrase` options. If you want to use the private key that you used when created DSVM, you should specify the `--use-azureml-ssh-key` option.
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Next, prepare the **myvm** compute target by running this command.
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