Build and deploy models rapidly with Azure Machine Learning
Accelerate time to market and foster team collaboration with industry-leading MLOps - DevOps for machine learning. Innovate on a secure and trusted platform. In addition, you'll benefit from native integration with other Azure services, such as Azure Cosmos DB, Power BI, Azure Synapse Analytics (including SQL Data Warehouse), Azure Data Factory, Azure Functions, and Azure Active Directory. With Azure AD integration, you benefit from compliance features and enterprise-grade SLA's.
Why use Azure Machine Learning?
- Productivity for all skill levels, with code-first, a drag-and-drop designer, and automated machine learning.
- Azure Machine Learning can be used for any kind of machine learning - from classical ML to deep learning, supervised, and unsupervised learning.
- Robust MLOps capabilities that integrate with existing DevOps processes and help manage the complete ML lifecycle.
- Responsible ML capabilities – understand models with interpretability and fairness, protect data with differential privacy and confidential computing, and control the ML lifecycle with audit trails and datasheets.
- Best-in-class support for open source frameworks and languages, including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R.
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