Question 1

这些数据的来源是什么?

Accepted Answer

我们的数据来自于从数百万家公司收集的招聘信息。我们在公司网站、招聘平台和其他招聘平台上监控这些招聘信息。分析招聘信息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。

Question 2

数据多久更新一次?

Accepted Answer

我们每天更新数据，以确保您访问的是最新的可用信息。这一频繁的更新过程保证了我们的洞察力和情报反映了行业内的最新发展和趋势。

Question 3

什么是XGBoost?

Accepted Answer

XGBoost short for Extreme Gradient Boosting is a powerful machine learning algorithm known for its efficiency and speed in dealing with structured data Developed by Tianqi Chen in 2014 XGBoost has gained immense popularity for its ability to provide high performance on a variety of tasks including classification regression and ranking problems It is based on the concept of gradient boosting where new models are trained to correct errors made by existing models

In the category of Python Build Tools XGBoost stands out as a versatile tool that is commonly used for building machine learning models It is particularly popular in data science and analytics for its accuracy and speed making it a preferred choice for professionals looking to optimize their predictive modeling tasks With its efficient implementation and support for parallel processing XGBoost has become a goto solution for a wide range of applications in the field

Having rapidly gained traction since its inception XGBoost has established a significant presence in the machine learning community It currently holds a substantial market share within the domain of gradient boosting algorithms with many professionals and organizations leveraging its capabilities to enhance their data analysis workflows As the demand for advanced analytics and predictive modeling continues to grow XGBoost is expected to maintain its market position and potentially expand further due to its proven performance and widespread adoption

Question 4

如何获得使用XGBoost的公司的最新列表？

Accepted Answer

您可以访问 TheirStack.com，获取使用 XGBoost 的公司更新名单。我们的平台提供了一个全面的数据库，涵盖了使用各种技术和内部工具的公司。

Question 5

XGBoost 有多少客户？

Accepted Answer

截至目前，我们拥有关于 6,276 家使用 XGBoost 的公司的数据。

Question 6

谁在使用XGBoost?

Accepted Answer

XGBoost 被广泛应用于包括 "Financial Services", "Financial Services", "Software Development", "Software Development", "Technology, Information and Internet", "Software Development", "Education", "Software Development", "Hospitals and Health Care", "Insurance" 在内的各个行业的各种组织中。欲了解所有使用 XGBoost 的行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用XGBoost?

Accepted Answer

一些使用XGBoost的公司包括Affirm, Capital One, Snowflake, Instacart, Cash App, Yelp, Pearson, Onelab Ventures, CVS Health, Intact以及更多公司。您可以在TheirStack.com上找到使用XGBoost的6,276家公司完整列表。

Question 8

哪些国家使用XGBoost最多？

Accepted Answer

根据我们的数据，XGBoost 在 美国 (1,787 companies), 英国 (360 companies), 印度 (225 companies), 法国 (177 companies), 加拿大 (127 companies), 德国 (95 companies), 西班牙 (90 companies), 荷兰 (64 companies), 巴西 (62 companies), 新加坡 (47 companies) 最受欢迎。然而，它被全世界的公司所使用。

Question 9

如何找到使用XGBoost的公司？

Accepted Answer

您可以在TheirStack.com上搜索XGBoost，来找到使用该技术的公司。我们跟踪数百万家公司的招聘信息，并借此发现他们正在使用的技术和内部工具。

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使用 XGBoost 的公司