Demo Part 1.1 ML Workspace

The video tutorial provides a comprehensive guide on creating and managing a machine learning workspace in Azure. It covers the no-code and low-code features of Azure Machine Learning Studio, including the use of Designer and Notebooks for model creation. The tutorial also explains how to navigate the Azure Portal, create a workspace, and manage resources such as compute and data stores. Additionally, it introduces automated machine learning and asset management, offering insights into the various tools and configurations available in Azure for machine learning projects.

What configurations are necessary to create a machine learning model?

What is the role of the notebook section in the machine learning studio?

How can you access the models created in the machine learning studio?

Discuss the importance of data labeling in machine learning.