使用Azure Machine Learning的公司
Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.
使用Azure Machine Learning的公司列表
curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
\"company_technology_slug_or\": [
\"azure-machine-learning\"
]
}"Technology
is any of
Azure Machine Learning
员工数237k收入$198BSoftware DevelopmentAzure Machine Learning高置信度
员工数738k收入$63BBusiness Consulting and ServicesAzure Machine Learning高置信度
员工数19k收入$2BIT Services and IT ConsultingAzure Machine Learning高置信度
员工数671k收入$27BIT Services and IT ConsultingAzure Machine Learning高置信度
员工数373k收入$19BIT Services and IT ConsultingAzure Machine Learning高置信度
员工数390收入$45MComputer and Network SecurityAzure Machine Learning高置信度
员工数20k收入$26BIT Services and IT ConsultingAzure Machine Learning高置信度
员工数26k收入$6.9BFinancial ServicesAzure Machine Learning高置信度
员工数10kMiningAzure Machine Learning高置信度
员工数12k收入$1.1BIT Services and IT ConsultingAzure Machine Learning高置信度
我们拥有关于9,286家公司和用户使用Azure Machine Learning的数据。我们的Azure Machine Learning用户和客户列表可供下载，并附有重要的公司信息，包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
技术使用统计和市场份额
如何定位 Azure Machine Learning 用户
- 如何自定义此列表？
您可以根据地理位置、行业、公司规模、收入、技术使用、职位发布等需求自定义此数据。您可以将数据下载为Excel或CSV格式。
- 如何在公司采用此技术时收到通知？
您可以为此数据设置提醒。您可以通过选择您感兴趣的技术开始，当有新公司使用该技术时，您将收到收件箱中的提醒。
- 如何将此数据导入我的CRM？
您可以将此数据导出为Excel文件，然后导入到您的CRM中。您也可以将数据导出到API。
常见问题
我们的数据来源于从数百万家公司收集的职位发布。我们监控公司网站、招聘网站和其他招聘平台上的这些发布。分析职位发布提供了一种可靠的方法来了解公司正在使用的技术，包括他们使用的内部工具。
我们每天刷新数据，以确保您访问的是最新的信息。这一频繁的更新过程保证了我们的洞察和情报反映行业的最新发展和趋势。
Azure Machine Learning is a powerful cloud-based service provided by Microsoft as part of the Azure cloud platform. It is designed to enable data scientists and developers to build, train, deploy, and manage machine learning models more easily and efficiently. With Azure Machine Learning, users can leverage a range of tools and frameworks to accelerate the development of AI solutions, from data preparation and model training to deployment and monitoring.
Machine Learning as a Service (MLaaS) is the category under which Azure Machine Learning falls. MLaaS platforms like Azure Machine Learning provide a set of tools and infrastructure for organizations to develop machine learning models without the need to build and maintain the underlying infrastructure. This category allows businesses to harness the power of machine learning algorithms and AI technologies to derive insights, improve decision-making processes, and enhance their products and services.
Azure Machine Learning was founded by Microsoft in 2014 with the aim of democratizing AI and making machine learning more accessible to a broader audience. Microsoft's motivation behind launching Azure Machine Learning was to empower organizations of all sizes to leverage the potential of AI and machine learning to drive innovation and accelerate digital transformation. Since its inception, Azure Machine Learning has gained significant traction in the market and established itself as a leading MLaaS platform.
Currently, Azure Machine Learning holds a substantial market share within the MLaaS category, thanks to Microsoft's strong presence in the cloud computing industry and its continuous investment in AI technologies. With the growing demand for AI-driven solutions across various industries, the market share of Azure Machine Learning is expected to continue expanding in the future. As organizations increasingly prioritize AI capabilities to gain a competitive edge and improve operational efficiency, Azure Machine Learning is poised to experience further growth and adoption in the market.