Azure Machine Learning by Microsoft
Azure Machine Learning is a cloud-based platform by Microsoft designed for building, training, deploying, and managing machine learning models at scale. It supports the end-to-end ML lifecycle with built-in tools, automation, and MLOps capabilities.
Key Features
Automated ML & Hyperparameter Optimization (HPO): Build high-performing models with minimal code.
MLOps & Lifecycle Management: Tools for CI/CD, version control, monitoring, and model governance.
Open-Source Integration: Works with MLflow, ONNX, PyTorch, TensorFlow, and scikit-learn.
Python SDK & R Support: Rich APIs for data scientists and developers.
Enterprise Security: Role-based access control (RBAC), private networking, and compliance certifications.
Example Use Cases
End-to-end machine learning model development and deployment
Enterprise-grade ML workflows with automated retraining and monitoring
Real-time inference via Azure Kubernetes Service or managed endpoints
Collaborative AI development with Jupyter and Git integration