How to optimize your Azure environment
Without the right tools and approach, cloud optimization can be a time-consuming and difficult process.
AI + machine learning
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Azure.Source – Volume 86
Read the latest announcements about Azure Maps, our machine-learning tools, how we give clinicians the right data, and more. -
Three things to know about Azure Machine Learning Notebook VM
Data scientists have a dynamic role. They need environments that are fast and flexible while upholding their organization’s security and compliance policies. -
Make your data science workflow efficient and reproducible with MLflow
When data scientists work on building a machine learning model, their experimentation often produces lots of metadata: metrics of models you tested, actual model files, as well as artifacts such as plots or log files. -
Using Azure Search custom skills to create personalized job recommendations
The Microsoft Worldwide Learning Innovation lab is an idea incubation lab within Microsoft that focuses on developing personalized learning and career experiences. -
Introducing next generation reading with Immersive Reader, a new Azure Cognitive Service
Today, we’re unveiling the preview of Immersive Reader, a new Azure Cognitive Service in the Language category. -
Azure.Source – Volume 88
News and updates from Azure Bastion, Azure Cognitive Services, Power Platform, and more. -
Leveraging complex data to build advanced search applications with Azure Search
Data is rarely simple. Not every piece of data we have can fit nicely into a single Excel worksheet of rows and columns. -
Azure.Source–Volume 89
News and updates from Azure premium files, Azure Blockchain, Azure Machine Learning, and more. -
Automate MLOps workflows with Azure Machine Learning service CLI
This year at Microsoft Build 2019, we announced a slew of new releases as part of Azure Machine Learning service which focused on MLOps. -
Enable receipt understanding with Form Recognizer’s new capability
One of the newest members of the Azure AI portfolio, Form Recognizer, applies advanced machine learning to accurately extract text, key-value pairs, and tables from documents. -
Analyze AI enriched content with Azure Search’s knowledge store
Through integration with Cognitive Services APIs, Azure Search has long had the ability to extract text and structure from images and unstructured content.
Explore Microsoft Foundry
The future of AI starts here. Envision your next great AI app with the latest technologies. Get started with Azure.
