Merge pull request #225593 from sdgilley/patch-48

fix v1 links

Author: prmerger-automator[bot]

articles/machine-learning/how-to-manage-workspace.md

@@ -21,7 +21,7 @@ ms.custom: fasttrack-edit, FY21Q4-aml-seo-hack, contperf-fy21q4, sdkv2, event-ti
 > * [v1](v1/how-to-manage-workspace.md)
 > * [v2 (current)](how-to-manage-workspace.md)
 
-In this article, you create, view, and delete [**Azure Machine Learning workspaces**](concept-workspace.md) for [Azure Machine Learning](overview-what-is-azure-machine-learning.md), using the [Azure portal](https://portal.azure.com) or the [SDK for Python](/python/api/overview/azure/ml/).  
+In this article, you create, view, and delete [**Azure Machine Learning workspaces**](concept-workspace.md) for [Azure Machine Learning](overview-what-is-azure-machine-learning.md), using the [Azure portal](https://portal.azure.com) or the [SDK for Python](https://aka.ms/sdk-v2-install).  
 
 As your needs change or requirements for automation increase you can also manage workspaces [using the CLI](how-to-manage-workspace-cli.md), [Azure PowerShell](how-to-manage-workspace-powershell.md),  or [via the VS Code extension](how-to-setup-vs-code.md).
 

articles/machine-learning/how-to-run-jupyter-notebooks.md

@@ -172,12 +172,6 @@ Once you're connected to a compute instance, use the toolbar to run all cells in
 
 Only you can see and use the compute instances you create.  Your **User files** are stored separately from the VM and are shared among all compute instances in the workspace.
 
-### View logs and output
-
-Use [notebook widgets](/python/api/azureml-widgets/azureml.widgets) to view the progress of the run and logs. A widget is asynchronous and provides updates until training finishes. Azure Machine Learning widgets are also supported in Jupyter and JupterLab.
-
-:::image type="content" source="media/how-to-run-jupyter-notebooks/jupyter-widget.png" alt-text="Screenshot: Jupyter notebook widget ":::
-
 ## Explore variables in the notebook
 
 On the notebook toolbar, use the **Variable explorer** tool to show the name, type, length, and sample values for all variables that have been created in your notebook.