Another new Azure ML feature supported by the new Python SDK is automated machine learning. The underlying concept isn’t new—it’s a form of hyperparameter optimization, or a way to ...

Azure Machine Learning is built with strong, enterprise-grade security features to protect data, models, and the entire machine learning workflow. It leverages Azure's Role-Based Access Control (RBAC) ...

Head-to-head comparison: Azure Machine Learning vs. IBM Watson Model training and development Azure ML offers more features for data preparation, transformation, normalization and model training ...

Azure Machine Learning supports five environments for model development: Azure Notebooks, the Data Science Virtual Machine (DSVM), Jupyter Notebooks, Visual Studio Code, and Azure Databricks.

Microsoft Azure Machine Learning helps organizations and businesses make sense of huge amounts of data, and within the Azure Marketplace, it’s possible for them to shop for pre-packaged apps tailored ...

Last year, organizations around the world, across all industries, were forced to leverage new technologies on multiple fronts to accommodate a new normal. The adoption of AI and machine learning saw ...

The company also launched two features in Azure Cognitive Search — Private Endpoints and Managed Identities — plus enhancements to Bot Framework Composer and the broader Azure Bot Service.

These features include distributed deep learning, which enables developers to build and ‘train models faster’ with massive clusters of Graphical Processing Units (GPUs) and access to powerful ...