Merge pull request #88050 from nibaccam/ws2-ui-aml-how

AutoML | How-to profile link

Author: PRMerger13

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

@@ -29,7 +29,7 @@ The new web experience enables data scientists and data engineers to complete th
 
 Using this new Azure Machine Learning interface, you can now:
 + Manage your notebooks or link out to Jupyter
-+ Run automated ML experiments
++ [Run automated ML experiments](tutorial-first-experiment-automated-ml.md)
 + [Create datasets from local files, datastores, & web files](how-to-create-register-datasets.md)
 + Explore & prepare datasets for model creation
 + Monitor data drift for your models 

articles/machine-learning/service/how-to-create-portal-experiments.md

@@ -61,7 +61,7 @@ Otherwise, you'll see your **Automated machine learning** dashboard with an over
     Select **Create**. Creation of a new compute can take a few minutes.
 
     >[!NOTE]
-    > Your compute name will indicate if the compute you select/create is *profiling enabled*. (See 7b for more details on data profiling).
+    > Your compute name will indicate if the compute you select/create is *profiling enabled*. (See the section [data profiling](#profile) for more details).
 
 1. Select a dataset from your storage container, or create one by uploading a file from your local computer to the container. Public preview only supports local file uploads and Azure blob storage accounts.