Learn about important Azure product updates, roadmap, and announcements. Subscribe to notifications to stay informed.RSS feed
Azure Machine Learning becomes a first party event publisher for Azure Event Grid, publishing events about model training run, model registration, model deployment and data drift detection
Features include: Model Interpretability - Machine learning interpretability allows data scientists to explain machine learning models globally on all data or locally on a specific data point using the state-of-art technologies in an easy-to-use and scalable fashion. Machine Learning interpretability incorporates technologies developed by Microsoft and proven third-party libraries (for example, SHAP and LIME).
Features include: Open Datasets - Open Datasets are a collection of datasets from the public domain to accelerate the development of machine learning models built in Azure. Open Datasets integrates with Machine Leaning Studio or can be accessed from python notebooks in Azure Machine Learning Service.
Stream Analytics now empowers every developer to easily add anomaly detection capabilities by providing ready-to-use machine learning models right within the SQL language.
Azure Machine Learning service, a cloud service that enables developers and data scientists to quickly and easily build, train and deploy machine learning models, is now generally available.
Azure Media Services’ AI-based media metadata extraction service is now generally available.
Azure at Ignite
Read the Azure blog for the latest news.Blog
Tell us what you think of Azure and what you want to see in the future.Provide feedback
Azure is available in more regions than any other cloud provider.Check product availability in your region