Fix broken link.

Author: Marc Gelormino

articles/machine-learning/service/azure-machine-learning-release-notes.md

@@ -150,7 +150,7 @@ The Experiment tab in the [new workspace portal](http://ml.azure.com) has been b
     + Add API `Dataset.Tabular`.[from_json_lines_files()](https://docs.microsoft.com/python/api/azureml-core/azureml.data.dataset_factory.tabulardatasetfactory#from-json-lines-files-path--validate-true--include-path-false--set-column-types-none--partition-format-none-) to create a TabularDataset from JSON Lines files. To learn about this tabular data in JSON Lines files on TabularDataset, please visit https://aka.ms/azureml-data for documentation.
     + Added additional VM size fields (OS Disk, number of GPUs) to the [supported_vmsizes()](https://docs.microsoft.com/python/api/azureml-core/azureml.core.compute.amlcompute.amlcompute#supported-vmsizes-workspace--location-none-) function
     + Added additional fields to the [list_nodes()](https://docs.microsoft.com/python/api/azureml-core/azureml.core.compute.amlcompute.amlcompute#list-nodes--) function to show the run, the private and the public IP, the port etc.
-    + Ability to specify a new field during cluster [provisioning]((https://docs.microsoft.com/python/api/azureml-core/azureml.core.compute.amlcompute.amlcompute#provisioning-configuration-vm-size-----vm-priority--dedicated---min-nodes-0--max-nodes-none--idle-seconds-before-scaledown-none--admin-username-none--admin-user-password-none--admin-user-ssh-key-none--vnet-resourcegroup-name-none--vnet-name-none--subnet-name-none--tags-none--description-none--remote-login-port-public-access--notspecified--)) `--remotelogin_port_public_access` which can be set to enabled or disabled depending on whether you would like to leave the SSH port open or closed at the time of creating the cluster. If you do not specify it, the service will smartly open or close the port depending on whether you are deploying the cluster inside a VNet.
+    + Ability to specify a new field during cluster [provisioning](https://docs.microsoft.com/python/api/azureml-core/azureml.core.compute.amlcompute.amlcompute#provisioning-configuration-vm-size-----vm-priority--dedicated---min-nodes-0--max-nodes-none--idle-seconds-before-scaledown-none--admin-username-none--admin-user-password-none--admin-user-ssh-key-none--vnet-resourcegroup-name-none--vnet-name-none--subnet-name-none--tags-none--description-none--remote-login-port-public-access--notspecified--) `--remotelogin_port_public_access` which can be set to enabled or disabled depending on whether you would like to leave the SSH port open or closed at the time of creating the cluster. If you do not specify it, the service will smartly open or close the port depending on whether you are deploying the cluster inside a VNet.
   + **[azureml-explain-model](https://docs.microsoft.com/python/api/azureml-explain-model)**
     + Improved documentation for Explanation outputs in the classification scenario.
     + Added the ability to upload the predicted y values on the explanation for the evaluation examples. Unlocks more useful visualizations.