Key Features and Capabilities
Azure Machine Learning brings a suite of powerful features and
capabilities designed to simplify and enhance the development,
deployment, and management of machine learning models.
• Automated Machine Learning (AutoML): AutoML automates selecting the optimal
algorithms and hyperparameters for your data, significantly reducing the time and
expertise required to develop high-quality models.
• Azure Machine Learning Designer: The Designer provides a drag-and-drop interface
that allows users to build, test, and deploy machine learning models without writing
code. It benefits business analysts and developers who prefer a more visual approach
to model development.
• ML Pipelines: Azure Machine Learning enables the creation of reusable, end-to-end
workflows (pipelines). These pipelines streamline the process of building, evaluating,
deploying, and retraining machine learning models.
• MLOps Support: Integrating with Azure DevOps, Azure Machine Learning supports
MLOps practices to automate and improve the lifecycle of machine learning models.
This integration includes version control, model monitoring, and continuous integration/
continuous deployment (CI/CD) pipelines.
• Scalability and Integration: Seamlessly integrates with other Azure services, such as
Azure Data Factory, Azure Synapse Analytics, and Azure IoT Hub, allowing businesses to
scale their solutions across the cloud and edge devices.
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