Azure is a cloud platform offered by Microsoft that has more than 200 products and cloud services. We have focused on Azure Machine Learning as part of this tutorial to lay out the initial groundwork required for students to build, configure, and deploy their machine learning models to cloud platform.
The AML offers enterprise grade service for end-to-end machine learning lifecycle. In this tutorial we are going to cover some of these services that can help students get comfortable with environment and explore other services at ease.
- Registration: Getting a free Azure account and Azure for Student subscription
- Machine Learning Service: Initial Step and Configuration
- Machine Learning Studio:
- Selecting the Correct Workspace
- Setting up Compute Infrastructure
- AML Designer: Drag-Drop ML Pipeline
- Automated ML: No Code Auto Model Selection & Deployment
- Notebooks: IDE on Cloud with Continuous Development & Deployment