Building recommender systems with Azure Machine Learning service
Recommendation systems are used in a variety of industries, from retail to news and media.
AI + machine learning
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Azure.Source – Volume 80
Spark + AI Summit – Developing for the intelligent cloud and intelligent edge; Announcing Azure Backup support to move Recovery Services vaults; Azure SQL Data Warehouse reserved capacity and software plans now generally available; and much more. -
Dear Spark developers: Welcome to Azure Cognitive Services
Today at Spark AI Summit 2019, we’re excited to introduce a new set of models in the SparkML ecosystem that make it easy to leverage the Azure Cognitive Services at terabyte scales. -
Spark + AI Summit – Developing for the intelligent cloud and intelligent edge
We are truly at a unique tipping point in the history of technology. -
Customize your Azure best practice recommendations in Azure Advisor
Cloud optimization is critical to ensuring you get the most out of your Azure investment, especially in complex environments with many Azure subscriptions and resource groups. -
Azure.Source – Volume 79
Move your data from AWS S3 to Azure Storage using AzCopyAzCopy v10 (Preview) now supports Amazon Web Services (AWS) S3 as a data; Announcing general availability of Apache Hadoop 3. -
QnA Maker updates – April 2019
The QnA Maker service lets you easily create and manage a knowledge base from your data, including FAQ pages, support URLs, PDFs, and doc files. -
How to stay on top of Azure best practices
Optimizing your cloud workloads can seem like a complex and daunting task. -
How do teams work together on an automated machine learning project?
When it comes to executing a machine learning project in an organization, data scientists, project managers, and business leads need to work together to deploy the best models to meet specific business objectives. -
How to accelerate DevOps with Machine Learning lifecycle management
DevOps is the union of people, processes, and products to enable the continuous delivery of value to end users. -
Leveraging AI and digital twins to transform manufacturing with Sight Machine
In the world of manufacturing, the Industrial Internet of Things (IIoT) has come, and that means data. -
Azure AI does that?
Whether you’re just starting off in tech, building, managing, or deploying apps, gathering and analyzing data, or solving global issues —anyone can benefit from using cloud technology.
Explore Microsoft Foundry
The future of AI starts here. Envision your next great AI app with the latest technologies. Get started with Azure.
