Breaking the wall between data scientists and app developers with Azure DevOps
As data scientists, we are used to developing and training machine learning models in our favorite Python notebook or an
Read moreAs data scientists, we are used to developing and training machine learning models in our favorite Python notebook or an
Read moreAs the manufacturing industry tackles some significant challenges including an aging workforce, compliance issues, and declining revenue, the Internet of
Read moreWith ever-increasing data volume and latency requirements, GPUs have become an indispensable tool for doing machine learning (ML) at scale.
Read moreThis blog post was co-authored by Patrick Mendenall, Principal Program Manager, Azure. We are excited to join the Game Developers Conference
Read moreIn the Sprint 149 Update of Azure DevOps, we added the ability to navigate to Azure Boards directly from mentions
Read moreThis article was co-authored by Last week researchers found dozens of companies had inadvertently exposed their sensitive corporate and
Read moreAzure Monitor Availability Testing allows you to monitor the availability and responsiveness of any HTTP or HTTPS endpoint that is
Read moreA few months ago, I shared best practices for alerting on metrics with Azure Database for PostgreSQL. Though I was
Read moreLast week we launched Azure Sentinel, a cloud native SIEM tool. Machine learning (ML) in Azure Sentinel is built-in right
Read moreTablets are an important part of the Bing success story, with many users looking for the latest news, checking out
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