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{{Infobox company
| company_name = Kaggle
| company_logo = [[File:Kaggle logo.png|200px]]
| genre =
| foundation = 2010年4月
| founder = [[安东尼·戈德布卢姆]]|
| location_country =
| location = {{USA}}[[旧金山]]
| origins =
| key_people = [[安东尼·戈德布卢姆]] ([[首席执行官|CEO]]) [[马克斯·列夫琴]] ([[董事局主席]]) 杰夫·莫泽 ([[首席技术官|CTO]]) 
| area_served =
| industry = [[预测建模]]
| products =
| services =
| revenue =
| operating_income =
| net_income =
| num_employees =
| parent = [[Google LLC]]
| divisions =
| subsid =
| owner = [[Alphabet]]
| company_slogan = Making Data Science a Sport 使数据科学成为一项运动
| homepage = {{URL|http://www.kaggle.com/}}
| dissolved =
| footnotes =
| type = [[子公司]]
}}
'''Kaggle'''是一个[[数据建模]]和[[数据分析]]竞赛平台。企业和研究者可在其上发布数据，统计学者和数据挖掘专家可在其上进行竞赛以产生最好的模型。这一[[众包]]模式依赖于这一事实，即有众多策略可以用于解决几乎所有预测建模的问题，而研究者不可能在一开始就了解什么方法对于特定问题是最为有效的。Kaggle的目标则是试图通过众包的形式来解决这一难题，进而使[[数据科学]]成为一场运动。2017年3月8日谷歌官方博客宣布收购Kaggle<ref>[https://cloudplatform.googleblog.com/2017/03/welcome-Kaggle-to-Google-Cloud.html?m=1 Welcome Kaggle to Google Cloud] {{Wayback|url=https://cloudplatform.googleblog.com/2017/03/welcome-Kaggle-to-Google-Cloud.html?m=1 |date=20180116135705 }}.[2017-03-08].</ref>。

==竞赛流程==
Kaggle中组织一场竞赛的过程如下。

# 竞赛主持人准备数据和问题的描述。Kaggle对这一过程以及竞赛的建构、数据的匿名化以及集成最终获胜的模型提供咨询服务。
# 参与者通过不同的方法进行实验，相互竞赛以获得最优的模型。对于大多数的参与者，他们的提交会根据预测精度被立即评分，并在实时的积分榜上显示。
# 在截止时间过后，竞赛主持人为“全球性的，永久性的，不可撤销和免版税地使用获奖作品”支付奖金。亦即竞赛获胜者的算法、软件和相关的[[知识产权]]是非排他性的，除非特别指明<ref>{{cite web|title=Terms and Conditions - Kaggle|author=Kaggle|url=https://www.kaggle.com/terms|accessdate=2014-09-13|archive-date=2021-01-11|archive-url=https://web.archive.org/web/20210111195517/https://www.kaggle.com/terms|dead-url=no}}</ref>。

除了公开竞赛以外，Kaggle还向活跃参与者提供私下的比赛，以及为大学团体提供Kaggle-in-Class项目<ref>{{cite web|title=Kaggle in Class|author=Kaggle|url=http://inclass.kaggle.com/|deadurl=yes|archiveurl=https://web.archive.org/web/20110616013541/http://inclass.kaggle.com/|archivedate=2011-06-16|accessdate=2014-09-13}}</ref>。

==影响==

根据Kaggle官方提供的数据，Kaggle在全球范围内拥有将近20万名数据科学家，专业领域从计算机科学到统计学、经济学和数学<ref>{{cite web|title=About Us|author=Kaggle|url=http://www.kaggle.com/pages/about|deadurl=yes|archiveurl=https://web.archive.org/web/20110727201359/http://www.kaggle.com/pages/about|archivedate=2011-07-27|accessdate=2014-09-13}}</ref>。Kaggle也曾经和[[NASA]]、[[维基百科]]、[[德勤]]和{{link-en|好事达|Allstate}}合作举办竞赛。其中的一项奖项高达300万美金的竞赛是Heritage Health Prize，目的是通过病人看病及吃药住院等数据预测明年病人住院的天数<ref>{{cite news|title=Healthy Competition|url=http://www.economist.com/blogs/babbage/2011/04/incentive_prizes|accessdate=3 May 2011|newspaper=The Economist|date=April 10, 2011|archive-date=2016-03-12|archive-url=https://web.archive.org/web/20160312052335/http://www.economist.com/blogs/babbage/2011/04/incentive_prizes|dead-url=no}}</ref>。另一项与[[微软]]合作的竞赛则旨在提高[[Kinect]]的手势识别精度<ref>{{cite news|last=Byrne|first=Ciara|title=Kaggle launches competition to help Microsoft Kinect learn new gestures|url=http://venturebeat.com/2011/12/12/kaggle-competition-microsoft-kinect-learn-new-gestures/|accessdate=13 December 2011|newspaper=VentureBeat|date=December 12, 2011|archive-date=2020-09-28|archive-url=https://web.archive.org/web/20200928173233/https://venturebeat.com/2011/12/12/kaggle-competition-microsoft-kinect-learn-new-gestures/|dead-url=no}}</ref>。

Kaggle的競賽在愛滋病研究<ref>{{cite news|last=Carpenter|first=Jennifer|title=May the Best Analyst Win|url=http://www.sciencemag.org/content/331/6018/698.summary|accessdate=1 April 2011|newspaper=Science Magazine|date=February 2011|archive-date=2015-09-24|archive-url=https://web.archive.org/web/20150924160920/http://www.sciencemag.org/content/331/6018/698.summary|dead-url=no}}</ref>、棋牌评级<ref>{{cite news|last=Sonas|first=Jeff|title=The Deloitte/FIDE Chess Rating Challenge|url=http://www.chessbase.com/newsdetail.asp?newsid=7020|accessdate=3 May 2011|newspaper=Chessbase|date=20 February 2011|archive-date=2012-11-09|archive-url=https://web.archive.org/web/20121109121728/http://chessbase.com/newsdetail.asp?newsid=7020|dead-url=no}}</ref>和交通预测<ref>{{cite news|last=Foo|first=Fran|title=Smartphones to predict NSW travel times?|url=http://www.theaustralian.com.au/australian-it/smartphone-used-to-predict-nsw-travel-times/story-e6frgakx-1226034533295|accessdate=3 May 2011|newspaper=The Australian|date=April 6, 2011|archive-date=2019-10-08|archive-url=https://web.archive.org/web/20191008090309/https://www.theaustralian.com.au/subscribe/news/1/?sourceCode=TAWEB_WRE_a&dest=&memtype=anonymous&mode=premium&crawler=true}}</ref>方面取得了成果。基于这些成果产生了一系列的学术论文。产生这一结果的原因是实时积分榜促使参加者不断改进以试图超越当前的最佳实践<ref>{{cite news|title=The Value of Feedback in Forecasting Competitions|last1=Athanasopoulos|first1=George|last2=Hyndman|first2=Rob|journal=International Journal of Forecasting|year=2011|volume=27|pages=845–849|url=http://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6V92-52S72B8-1-1&_cdi=5886&_user=559483&_pii=S0169207011000495&_origin=&_coverDate=09%2F30%2F2011&_sk=999729996&view=c&wchp=dGLzVzb-zSkWl&_valck=1&md5=7c0b261207c4204b14d21a95adc9d6bb&ie=/sdarticle.pdf|accessdate=2021-02-07|archive-date=2019-02-16|archive-url=https://web.archive.org/web/20190216230244/https://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6V92-52S72B8-1-1&_cdi=5886&_user=559483&_pii=S0169207011000495&_origin=&_coverDate=09%2F30%2F2011&_sk=999729996&view=c&wchp=dGLzVzb-zSkWl&_valck=1&md5=7c0b261207c4204b14d21a95adc9d6bb&ie=%2Fsdarticle.pdf|dead-url=no}}</ref>。获胜的方法常常在Kaggle的博客[http://blog.kaggle.com/ ''No Free Hunch'']{{Wayback|url=http://blog.kaggle.com/ |date=20110812151656 }}上展示。

==融资==
2011年，Kaggle从创办地[[澳大利亚]][[墨尔本]]搬迁到美国旧金山，并在11月宣布向硅谷投资者进行规模为1100万美元的首轮融资。{{link-en|指数风险投资公司|Index Ventures}}和{{link-en|科斯拉风险投资公司|Khosla Ventures}}成为Kaggle最大的股东，而[[PayPal]]联合创始人[[马克斯·列夫琴]]也参加了该轮投资并成为Kaggle的董事局主席。另一位著名的投资人是经济学家，[[Google]]首席经济师[[哈尔·范里安]]。他称Kaggle提供了一种“将全世界最有才能的数据科学家组织起来并使各种规模的机构都能够触及”的方式<ref>{{cite news|last=Rao|first=Leena|title=Index And Khosla Lead $11M Round In Kaggle, A Platfogasgsgrm For Data Modeling Competitions|url=http://techcrunch.com/2011/11/02/index-and-khosla-lead-11m-round-in-kaggle-a-platform-for-data-modeling-competitions/|accessdate=13 December 2011|newspaper=TechCrunch|date=November 2, 2011|archive-date=2020-10-23|archive-url=https://web.archive.org/web/20201023232332/https://techcrunch.com/2011/11/02/index-and-khosla-lead-11m-round-in-kaggle-a-platform-for-data-modeling-competitions/|dead-url=no}}</ref>。

== 参见 ==
* [[数据科学]]
* [[TopCoder]]

==参考资料==
{{reflist}}

==扩展阅读==
*[http://www.whitehouse.gov/blog/2011/06/27/competition-shines-light-dark-matter "Competition shines light on dark matter", Office of Science and Technology Policy, Whitehouse website, June 2011] {{Wayback|url=http://www.whitehouse.gov/blog/2011/06/27/competition-shines-light-dark-matter |date=20161215144008 }}
*[http://online.wsj.com/article/SB10001424052748704662604576202392747278936.html "May the best algorithm win...", ''The Wall Street Journal'', March 2011] {{Wayback|url=http://online.wsj.com/article/SB10001424052748704662604576202392747278936.html |date=20130106210424 }}
*[http://www.newscientist.com/blogs/onepercent/2011/07/kaggle-competition-aims-to-giv.html "Kaggle contest aims to boost Wikipedia editors", ''New Scientist'', July 2011] {{Wayback|url=http://www.newscientist.com/blogs/onepercent/2011/07/kaggle-competition-aims-to-giv.html |date=20160322012136 }}
*[http://www.nature.com/nbt/journal/v29/n9/full/nbt.1968.html "Verification of systems biology research in the age of collaborative competition", ''Nature Nanotechnology'', September 2011] {{Wayback|url=http://www.nature.com/nbt/journal/v29/n9/full/nbt.1968.html |date=20170705033910 }}

==外部链接==
* {{official website|http://www.kaggle.com/}}
*[http://blog.kaggle.com/ ''No Free Hunch'', the Kaggle blog]{{Wayback|url=http://blog.kaggle.com/ |date=20110812151656 }}

[[Category:众包]]
[[Category:資料分析]]
[[Category:机器学习]]
[[Category:2010年加利福尼亞州建立]]
[[Category:程序设计竞赛]]
[[Category:人工智能]]

Kaggle - 版本历史

imported>InternetArchiveBot：​补救1个来源，并将0个来源标记为失效。) #IABot (v2.0.8.7

imported>InternetArchiveBot：补救1个来源，并将0个来源标记为失效。) #IABot (v2.0.8.7