A data science competition platform is used by businesses to host
data science
Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processing, scientific visualization, algorithms and systems to extract or extrapolate knowledge from potentially noisy, stru ...
challenges that are hard to solve for one group.
Platform
Historically,
crowdsourcing
Crowdsourcing involves a large group of dispersed participants contributing or producing goods or services—including ideas, votes, micro-tasks, and finances—for payment or as volunteers. Contemporary crowdsourcing often involves digit ...
challenges have been known to solve very complex problems. The
Netflix Prize is one such competition. Since then there have been several platforms developed on the idea of data science competitions. Research has been completed on how competition can improve research performance. Companies like
JPMorgan Chase
JPMorgan Chase & Co. (stylized as JPMorganChase) is an American multinational financial services, finance corporation headquartered in New York City and incorporated in Delaware. It is List of largest banks in the United States, the largest ba ...
also run internal contests involving large numbers of employees.
Examples of data science competition platforms include Bitgrit, Correlation One,
Kaggle
Kaggle is a data science competition platform and online community for data science, data scientists and machine learning practitioners under Google LLC. Kaggle enables users to find and publish datasets, explore and build models in a web-based d ...
,
InnoCentive, Microprediction, AIcrowd, and
Alibaba Tianchi.
Alibaba's competition platform was used in
KDD 2017.
References
{{reflist
Challenge awards