Summary
In this chapter, you learned how to get started with the Microsoft Azure platform, the ML services ecosystem capabilities, and learned about Microsoft's AI and ML offerings. You were also briefed on different capabilities within the Azure platform, such as collaborative notebooks, drag and drop ML, MLOPS, RStudio integration, reinforcement learning, enterprise-grade security, automated ML, data labeling, autoscaling compute, integration with other Azure services, responsible ML, and cost management. Finally, to test your newly discovered Azure superpowers, you configured, built, deployed, and tested a classification web service using an Azure Machine Learning notebook.
In the next chapter, we will further dive into using the automated ML features of the Azure Machine Learning service.
