Quick tour of the studio Show 4 more In this tutorial, you'll create the resources you need to start working with Azure Machine Learning. A workspace. To use Azure Machine Learning, you'll first need a workspace. The workspace is the central place to view and manage all the artifacts...
The model catalog in Azure Machine Learning studio is the hub to discover and use a wide range of models that enable you to build Generative AI applications. The model catalog features hundreds of models from model providers such as Azure OpenAI service, Mistral, Meta, Cohere, Nvidia, Hugging...
You won't write any code in this tutorial, you'll use the studio interface to perform training. You'll learn how to do the following tasks: Create an Azure Machine Learning workspace. Run an automated machine learning experiment. Explore model details. Deploy the recommended model. Also try ...
在本文中,您將瞭解如何使用 Azure Machine Learning SDK 新增連線。連線是驗證和取用 Azure AI Studio 專案內 Microsoft 和其他資源的方式。 例如,連線可用於提示流程、定型資料和部署。 可以單獨針對一個專案建立連線,或與相同 Azure AI Studio 中樞資源中的所有專案共用。 如需詳細資訊,請參閱Azure AI Studio ...
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In future columns, I’ll explore other aspects of AI both inside and outside Azure ML Studio. While machine learning, artificial intelligence, and data science in general might seem intimidating to the average developer or data engineer, the overall goal of this column is to help you ...
Azure AI 迁移以在 AI 时代进行创新 构建和现代化智能应用 AI 数据分析 Azure AI 基础结构 自适应云 Azure 网络安全 Microsoft Cloud 上的 SAP AI Azure AI Azure 的负责任 AI Azure AI 基础结构 构建和现代化智能应用 知识挖掘 Azure 上的 Hugging Face Azure 机密计算 应用...
Hello everyone, I would be very grateful if you would tell me what am I doing wrong (as this works in Azure AI Studio) but not on Azure Machine Learning? The format is correct and everything seems fine to me. What am I missing? Thank you in advance! … ...
Azure Machine Learning includes features promoting responsible AI, such as explainability and fairness. Azure Search can be used to embed search functionality into any custom application. Azure ExpressRoute offers a direct connection between Azure data center and your on-premise environment. Secure, dedi...
AI: 云计算场景下的 AI 主要围绕机器学习服务,包含了 Azure Machine Learning Service, Azure ML Studio, Cognitive Services (Vision, Speech, Knowledge Mapping, Bing Search, Natural Language Processing) DevOps: 包括了 Azure DevOps, Azure DevTest Labs ...