Update how-to-access-data-interactive.md . . .

Author: fbsolo-ms1

articles/machine-learning/how-to-access-data-interactive.md

@@ -35,10 +35,10 @@ A machine learning project typically starts with exploratory data analysis (EDA)
 > The guidance in this article describes data access during interactive development. It applies to any host that can run a Python session. This can include your local machine, a cloud VM, a GitHub Codespace, etc. We recommend use of an Azure Machine Learning compute instance - a fully managed and pre-configured cloud workstation. For more information, visit [Create an Azure Machine Learning compute instance](how-to-create-compute-instance.md).
 
 > [!IMPORTANT]
-> Ensure you have the latest `azure-fsspec` and `mltable` python libraries installed in your Python environment:
+> Ensure you have the latest `azure-fsspec`, `mltable`, and `azure-ai-ml` python libraries installed in your Python environment:
 >
 > ```bash
-> pip install -U azureml-fsspec mltable
+> pip install -U azureml-fsspec==1.3.1 mltable azure-ai-ml
 > ```
 
 ## Access data from a datastore URI, like a filesystem