Examples of using Azure machine learning in English and their translations into Chinese
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Azure Machine Learning.
This is the point where Azure Machine Learning really stands out from the pack.
这正是Azure机器学习大显身手的时候。Azure Machine Learning MAX.
Azure机器学习MAX.Today, we are happy to announce the general availability of Azure Machine Learning service.
因此，我们很高兴地宣布我们现在是AzureMachineLearning的一部分了。Azure Machine Learning Studio.
Azure机器学习室.
Our initial offering iscalled CrowdFlower AI Powered by Microsoft Azure Machine Learning.
我们首次发行产品的是CrowdFlowerAIPoweredbyMicrosoftAzureMachineLearning。The Azure Machine Learning Experimentation.
Azure机器学习实验.One of the key things studentsneed for learning how to use Microsoft Azure Machine learning is access sample data sets and experiments.
要学习怎么使用微软Azure机器学习，最重要的是获取样本数据集和进行实验。The Azure Machine Learning Model Management.
Azure机器学习模型管理.If you don't have advanced programming skills but are looking to get into machine learning, you should check out Azure Machine Learning.
如果您没有高级的编程能力，但是，您希望进入机器学习，您应该考虑Azure机器学习。Azure Machine Learning service is now generally available.
微软的Azure机器学习服务现在已经全面提供。That's a big reason why Herlihy is cultivating a data lake,using Microsoft's Azure machine learning technology to refine the personal messaging.
这就是为什么Herlihy正在发展数据湖，使用微软的Azure机器学习技术来改善个人信息。Azure Machine Learning and Windows Machine Learning. .
Azure机器学习和Windows机器学习。If you don't have advanced programming skills but are looking to get into machine learning, you should check out Azure Machine Learning.
如果你没有高超的编程技能，但却很希望涉足机器学习领域，那你就不能错过Azure机器学习。Train new models using Azure machine learning and save the result in ONNX format.
可以使用Azure机器学习服务训练新模型并保存为ONNX格式。If you don't have advanced programming skills but are looking to get into machine learning, you should check out Azure Machine Learning.
如果你没有高超的编程技能，但很希望能够涉足机器学习领域，那你应该好好研究Azure机器学习。We plan on using the Azure Machine Learning framework against our MongoDB data lake.
我们计划在MongoDBdatalake使用Azure机器学习框架。Project Brainwave makes Azure the fastest cloud to run real-time AI andis now fully integrated with Azure Machine Learning.
ProjectBrainwave让Azure成为实时运行人工智能最快的云平台，并且已经实现了与Azure机器学习的完全整合。Azure Machine Learning has more than 30 pre-built algorithms that can be used for training machine learning models.
Azure机器学习有30多种预先构建的算法，可用于训练机器学习模型。R is available as free open source and is embedded into dozens of commercial products,including Microsoft Azure Machine Learning Studio and SQL Server 2016.
R以免费的开源形式提供，它被嵌入到数十种商业产品，包括MicrosoftAzureMachineLearningStudio和SQLServer2016。The Microsoft Azure Machine Learning will help you select the appropriate algorithm for a predictive analytics model.
这份来自MicrosoftAzure的机器学习速查表将帮助你在预测性分析解决方案上选择适当的机器学习算法。Project Brainwave Preview- supports running on Azure and Edge,fully utilizing Azure machine learning, supporting Intel FPGA hardware and ResNet50 based neural networks.
ProjectBrainwave预览版-支持运行于Azure和Edge，能够完全利用Azure机器学习，支持IntelFPGA硬件和基于ResNet50的神经网络。Microsoft Azure Machine Learning enables data scientists to prepare data, develop experiments and deploy models at cloud scale.
MicrosoftAzureMachineLearning使数据科学家能够准备数据、开发实验以及在云端部署模型。Microsoft, for its part, has its new Azure Machine Learning offering as well as the assets of Revolution Analytics, which it recently acquired.
微软，就其本身而言，它最近收购了有其新的Azure机器学习以及革命的资产分析。Azure Machine Learning helps data scientists and developers build and train AI models faster, then easily deploy to the cloud or the edge.
Azure机器学习服务能帮助数据科学家和开发者更快速地构建和训练人工智能模型，并轻松地将其部署到云端或者边缘。Azure Machine Learning provides ML a service that developers or data scientists can use in notebooks, and then train in the cloud effectively.
Azure机器学习提供了该项ML服务，方便开发人员或数据科学家在记事本上运行，然后在云上进行有效的训练。Azure Machine Learning service now allows developers to seamlessly move from training PyTorch models on a local machine to scaling out on the Azure cloud.
Azure机器学习服务现在允许开发者将本地训练的PyTorch模型无缝迁移到Azurecloud上。Based on Azure Machine Learning, this tool processes complex data consisting of student performance, school infrastructure, and teacher skills to find meaningful patterns.
这个基于Azure机器学习的工具处理一些复杂的数据，包括学生的表现，学校基础设施和教师技能，以找到有意义的模式。Azure Machine Learning service now allows developers to seamlessly move from training PyTorch models on a local machine to scaling out on the Azure cloud.
Azure机器学习服务现在允许开发人员无缝地从在本地机器上训练PyTorch模型，并转移到AzureCloud中进行扩展。Azure Machine Learning includes three components(Workbench, Experimentation Service and Model Management Service), a learning library as well as Visual Studio Code Tools for AI.
AzureMachineLearning包含三个组件（Workbench、ExperimentationService和ModelManagementService）、一个学习库，以及VisualStudioCodeToolsforAI。
