Build machine learning models in a simplified way with machine learning platforms from Azure. Machine learning as a service increases accessibility and efficiency.
Microsoft Azure 探索 產品 解決方案 價格 合作夥伴 資源 了解 支援 連絡銷售人員 開始使用 Azure 登入 所有Microsoft 搜尋 免費試用 Machine Learning 開始使用工作室 開始使用 Azure 上一頁投影片 下一張投影片 返回[容量] 區段 閱讀案例 閱讀案例 閱讀案例 閱讀案例 閱讀案例 閱讀案例 ...
了解深度學習與機器學習和人工智慧之間的關聯。 在 Azure Machine Learning 中,使用深度學習模型來偵測詐騙、偵測物件,以及執行其他功能。
Azure Synapse Analytics,用于通过 Spark 处理和流式传输数据。 Azure Arc,可用于在 Kubernetes 环境中运行 Azure 服务。 存储和数据库选项,如 Azure SQL 数据库和 Azure Blob 存储。 Azure 应用服务,可用于部署和管理 ML 支持的应用。 Microsoft Purview,可用于发现整个组织中的数据资产并对这些资产进行编录。
Models from providers other than Microsoft are Non-Microsoft Products, as defined in Microsoft's Product Terms, and subject to the terms provided with the model. Prompt flow Azure Machine Learning prompt flow is a development tool designed to streamline the entire development cycle of AI ...
Microsoft Purview, which allows you to discover and catalog data assets across your organization. Mikilvægt Azure Machine Learning doesn't store or process your data outside of the region where you deploy. Machine learning project workflow ...
同时,用户还可以通过 https://azure.microsoft.com/en-us/documentation/articles/machine-learning-import-data/ (英文)了解所有关于微软Azure机器学习相关的知识。我这里针对几个大家普遍关心的问题做一些解释,帮助大家快速了解AML并快速上手。 数据如何导入及数据的类型。
An Azure machine learning service for building and deploying models. 3,078 questions 2 answersOne of the answers was accepted by the question author. Issue with the sandbox being unavailable on Microsoft Azure Fundamentals Hey everyone, I’ve been trying to use the MS Learn Sandbox for a module...
Microsoft Q&A Azure Machine Learning 2,833 questions An Azure machine learning service for building and deploying models. Browse all Azure tags 2,833 questions with Azure Machine Learning tags Sort by:Updated UpdatedCreatedAnswers 1 answer Azure OpenAi WebApp Deploy Failed ...
from azureml.core.compute import ComputeTarget, ComputeInstance # Use the name of your current instance compute_name = 'docs-ci' # Confirm your current instance instance = ComputeInstance.create(ws, compute_name, compute_config) instance.wait_for_completion(show_output=True) ...