使用Amazon Machine Learning的公司
This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure.
使用Amazon 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\": [
\"amazon-machine-learning\"
]
}"Technology
is any of
Amazon Machine Learning
员工数147kIT Services and IT ConsultingAmazon Machine Learning高置信度
员工数2.7kSoftware DevelopmentAmazon Machine Learning高置信度
员工数12k收入$2.9BBusiness Consulting and ServicesAmazon Machine Learning高置信度
员工数244kFinancial ServicesAmazon Machine Learning高置信度- 员工数1.5M收入$3MIT Services and IT ConsultingAmazon Machine Learning高置信度
员工数61kFinancial ServicesAmazon Machine Learning高置信度
员工数24k收入$2BIT Services and IT ConsultingAmazon Machine Learning高置信度
员工数341k收入$19BIT Services and IT ConsultingAmazon Machine Learning高置信度
员工数14k收入$7BIT Services and IT ConsultingAmazon Machine Learning高置信度
员工数30k收入$55BIT Services and IT ConsultingAmazon Machine Learning高置信度
我们拥有关于7,365家公司和用户使用Amazon Machine Learning的数据。我们的Amazon 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 Amazon 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。
Amazon Machine Learning is a cloud-based service provided by Amazon Web Services (AWS) that enables developers to build and deploy machine learning models. It simplifies the process of creating predictive models without requiring extensive machine learning expertise, making it accessible to a wider audience of users. With Amazon Machine Learning, users can generate predictions for their applications based on data stored in Amazon S3, Redshift, or RDS.
Machine Learning as a Service (MLaaS) is the category to which Amazon Machine Learning belongs. MLaaS platforms offer machine learning capabilities through cloud-based services, allowing businesses to leverage the power of machine learning without the need to maintain complex infrastructure or hire specialized data science teams. Amazon Machine Learning falls under this category as a user-friendly tool that empowers organizations to incorporate machine learning into their applications and processes seamlessly.
Amazon Machine Learning was founded by Amazon Web Services in April 2015. The motivation behind its creation was to democratize machine learning by providing a simple yet powerful platform that could be utilized by developers, data scientists, and business professionals alike. By offering a user-friendly interface and automated model training, Amazon Machine Learning aimed to make machine learning accessible to a broader audience and accelerate innovation in this field.
As of the latest data, Amazon Machine Learning holds a significant market share within the Machine Learning as a Service category. With the continuous expansion of AWS services and the growing demand for machine learning capabilities in various industries, it is forecasted that Amazon Machine Learning's market share will continue to grow in the future. As more businesses recognize the value of incorporating machine learning into their operations, platforms like Amazon Machine Learning are poised to play a crucial role in driving innovation and driving business success.