This section provides an overview of the key concepts behind Azure Machine Learning. Azure Machine Learning is a cloud-based service that enables you to build, train, deploy, and manage machine learning models.
Core Concepts
Workspaces
Workspaces are the central hub for all Azure Machine Learning activities. They provide a secure and isolated environment for managing your projects.
Experiments
Experiments allow you to run and track your machine learning training jobs. They provide a way to manage different versions of your code and track the results of your experiments.
Jobs
Jobs are the fundamental unit of work in Azure Machine Learning. You use jobs to run training, scoring, and other tasks.
Compute
Azure Machine Learning offers various compute options, including compute instances, compute clusters, and virtual machines. These provide the resources needed to run your training and scoring jobs.