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Kaggle is a data science competition platform and online community for 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 data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
Historically, crowdsourcing challenges have been known to solve very complex problems. [1] 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.
The Cyc TPTP Challenge is a competition to develop reasoning methods for the Cyc comprehensive ontology and database of everyday common sense knowledge. [16] The prize is 100 euros for "each winner of two related challenges". [citation needed] The Eternity II challenge was a constraint satisfaction problem very similar to the Tetravex game. The ...
Kaggle: Google Data science, machine learning and mathematical optimization competition platform and online community. Active AI Challenge: University of Waterloo International artificial intelligence programming contest that ran from 2009 to 2011. Inactive Halite AI Programming Competition: Two Sigma, Cornell Tech
The competition was hosted on Kaggle, a service that runs data science competitions. It included two tracks: a hierarchical load forecasting track and a wind power forecasting track; both opened to contestants in September 2012.
It used real-life data from Walmart and was conducted on Kaggle's Platform. It offered substantial prizes totaling US$100,000 to the winners. The data was provided by Walmart and consisted of around 42,000 hierarchical daily time series, starting at the level of SKUs and ending with the total demand of some large geographical area.
Anthony John Goldbloom (born 21 June 1983) is the founder and former CEO of Kaggle, a data science competition platform which has used predictive modelling competitions to solve data problems for companies, such as NASA, Wikipedia, [1] Ford and Deloitte.
In addition, Albumentations has been used in many winning solutions for computer vision competitions, including the DeepFake Detection challenge at Kaggle with a prize of 1 million dollars. [ 6 ] Example