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NYC BigApps is an annual competition sponsored by the New York City Economic Development Corporation.It provides programmers, developers, designers, and entrepreneurs with access to municipal data sets to build technological products that address civic issues affecting New York City.
Research has been completed on how competition can improve research performance. Companies like JPMorgan Chase also run internal contests involving large numbers of employees. [2] Examples of data science competition platforms include Bitgrit, [3] Correlation One, Kaggle, InnoCentive, Microprediction, [4] AIcrowd, [5] and Alibaba Tianchi. [6]
The goal of the Hutter Prize is to encourage research in artificial intelligence (AI). The organizers believe that text compression and AI are equivalent problems. Hutter proved that the optimal behavior of a goal-seeking agent in an unknown but computable environment is to guess at each step that the environment is probably controlled by one of the shortest programs consistent with all ...
The M2-Competition was organized in collaboration with four companies and included six macroeconomic series, and was conducted on a real-time basis. Data was from the United States. [1] The results of the competition were published in a 1993 paper. [6] The results were claimed to be statistically identical to those of the M-Competition. [1]
Data-driven models encompass a wide range of techniques and methodologies that aim to intelligently process and analyse large datasets. Examples include fuzzy logic, fuzzy and rough sets for handling uncertainty, [3] neural networks for approximating functions, [4] global optimization and evolutionary computing, [5] statistical learning theory, [6] and Bayesian methods. [7]
Chinook, a computer program that plays English draughts; the first to win the world champion title in the competition against humans. [22] Deep Blue, a chess-playing computer developed by IBM which beat Garry Kasparov in 1997. [23] Halite, an artificial intelligence programming competition created by Two Sigma in 2016. [24]
The Winter Olympics in Sochi have begun. Check back throughout the games for the latest schedules and medal counts for each competing country and athlete.
Data thinking guides the exploration, design, development, and validation of data-driven solutions in product development. It merges data science with design thinking, [1] focusing on user experience and data analytics, including the collection and interpretation of data. This framework aims to apply data literacy and inform decision-making ...