Main Purpose
Azure Machine Learning is a cloud service that provides a comprehensive environment for creating, training, and deploying machine learning models. It aims to accelerate and manage the entire machine learning project lifecycle.
Key Features
- Compatibility with open-source frameworks like PyTorch and TensorFlow
- Advanced MLOps features for model deployment and management
- Simple no-code model creation and deployment options
- Collaborative features for team-based ML projects
- Support for automated machine learning (AutoML)
- Integration with Azure services for complete ML solutions
- Security integrations with Azure Virtual Networks and Azure Key Vault
- Multiple authoring experiences including notebooks, visualizations, and a designer
- Enterprise-readiness with governance, security, and compliance features
Use Case
- Implementing MLOps within organizations to bring ML models into production in a secure and auditable environment
- Data scientists and ML engineers can accelerate and automate their workflows
- Application developers can integrate ML models into applications or services
- Platform developers can build advanced ML tooling using Azure Resource Manager APIs
