Azure Machine Learning

Overview

Azure Machine Learning provides a cloud-based environment to build, train, deploy, and manage machine learning models. It offers a wide range of services and tools to accelerate your machine learning workflows.

Key features include:

• Azure Machine Learning Workspace: A central hub for managing your machine learning resources.
• Compute Instances: Managed compute environments for training and deploying models.
• Designer: A drag-and-drop interface for building machine learning pipelines.
• AML SDK: A command-line interface and SDK for automating machine learning workflows.
• Azure Machine Learning CLI: A command-line interface for interacting with the Azure Machine Learning service.

Getting Started

Here's how to get started with Azure Machine Learning:

1. Create an Azure Account: If you don't already have one, sign up for an Azure account.
2. Create an Azure Machine Learning Workspace: Use the Azure portal or Azure CLI to create a workspace.
3. Explore the Azure Machine Learning Studio: Launch the studio to start building your machine learning solutions.
4. Tutorials and Samples: Check out the tutorials and samples for guided learning experiences.

Key Services