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使用BigML的公司

BigML provides a hosted machine learning platform for advanced analytics. Through BigML's intuitive interface and/or its open API and bindings in several languages, analysts, data scientists and developers alike can quickly build fully actionable predictive models and clusters that can easily be incorporated into related applications and services.

使用BigML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\": [
    \"bigml\"
  ]
}"

Technology

is any of

Logo

BigML

  • ASITUR ASISTENCIA logo
    西班牙员工数420Insurance
    LogoBigML高置信度
  • Genetsis Group logo
    西班牙员工数66Advertising Services
    LogoBigML中置信度
  • Master Plan logo
    西班牙员工数74Civil Engineering
    LogoBigML中置信度
  • DeepMind logo
    印度员工数27Professional Services
    LogoBigML中置信度
  • 美国员工数3Financial Services
    LogoBigML中置信度
  • Google DeepMind logo
    英国员工数11kResearch Services
    LogoBigML中置信度
  • Aerovine logo
    美国员工数3IT Services and IT Consulting
    LogoBigML低置信度
  • Boston Scientific logo
    美国员工数55kMedical Equipment Manufacturing
    LogoBigML低置信度
  • SuperPe logo
    印度员工数32Internet Marketplace Platforms
    LogoBigML低置信度
  • Oxigent Technologies logo
    西班牙员工数250IT Services and IT Consulting
    LogoBigML低置信度

我们拥有关于36家公司和用户使用BigML的数据。我们的BigML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 BigML 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。

BigML is a powerful technology in the realm of Machine Learning as a Service, offering a user-friendly platform that enables organizations to harness the potential of machine learning without extensive expertise in data science. With BigML, users can easily create, deploy, and manage machine learning models to derive valuable insights from their data, making it a popular choice among businesses looking to leverage the power of AI.

Founded in 2011 by the team behind Strands, a leading fintech company, BigML was created with the vision of democratizing machine learning and making it accessible to a broader audience. The motivation behind the inception of BigML was to simplify the complexities of traditional machine learning methodologies and provide a streamlined solution for businesses to incorporate AI into their operations with ease.

In terms of market share, BigML has gained significant traction within the Machine Learning as a Service category, with a growing user base and a strong presence in various industries such as finance, healthcare, and e-commerce. As organizations continue to embrace data-driven decision-making, the demand for machine learning solutions like BigML is expected to rise, indicating a positive outlook for its future market share growth. With its intuitive interface and robust features, BigML is well-positioned to maintain and expand its market presence in the evolving landscape of AI technologies.

您可以通过访问TheirStack.com获取使用BigML的公司更新列表。我们的平台提供了一个全面的公司数据库,涵盖了使用各种技术和内部工具的公司。

截至目前,我们拥有关于使用BigML的36家公司的数据。

BigML被各种行业的多样化组织使用,包括"Insurance", "Advertising Services", "Civil Engineering", "Professional Services", "Financial Services", "Research Services", "IT Services and IT Consulting", "Medical Equipment Manufacturing", "Internet Marketplace Platforms", "IT Services and IT Consulting"。有关使用BigML的所有行业的完整列表,请访问TheirStack.com。

使用BigML的一些公司包括ASITUR ASISTENCIA, Genetsis Group, Master Plan, DeepMind, ProsperBot, Google DeepMind, Aerovine, Boston Scientific, SuperPe, Oxigent Technologies等。您可以在TheirStack.com上找到使用BigML的36家公司的完整列表。

根据我们的数据,BigML在西班牙 (8 companies), 美国 (7 companies)最受欢迎。然而,它在全球各地的公司中都有使用。

您可以通过在TheirStack.com上搜索BigML找到使用该技术的公司。我们跟踪数百万家公司的职位发布,并利用它们来发现他们正在使用的技术和内部工具。