Build business-critical ML models at scale

Azure Machine Learning is a cloud-based service that provides tools and capabilities for building, deploying, and managing machine learning models. It supports a wide range of machine learning frameworks and integrates seamlessly with other Azure services to enhance productivity and scalability.

Features

• **Data preparation: **Quickly iterate data preparation on Apache Spark clusters within Azure Machine Learning, interoperable with Microsoft Fabric.
• **Feature store: **Increase agility in shipping your models by making features discoverable and reusable across workspaces.
• **AI infrastructure: **Take advantage of purpose-built AI infrastructure uniquely designed to combine the latest GPUs and InfiniBand networking.
• **Automated machine learning: **Rapidly create accurate machine learning models for tasks including classification, regression, vision, and natural language processing.
• **Responsible AI: **Build responsible AI solutions with interpretability capabilities. Assess model fairness through disparity metrics and mitigate unfairness.
• **Model catalog: **Discover, fine-tune, and deploy foundation models from Microsoft, OpenAI, Hugging Face, Meta, Cohere and more using the model catalog.
• **Prompt flow: **Design, construct, evaluate, and deploy language model workflows with prompt flow.
• **Managed endpoints: **Operationalize model deployment and scoring, log metrics, and perform safe model rollouts.