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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.
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]
They offer standalone contests with or without minor prizes. Users will typically be assigned a rating based on their performance on said contests. The archives of past problems are popular resources for training in competitive programming. There are several organizations that host programming competitions on a regular basis. These include:
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.
The Global Energy Forecasting Competition (GEFCom) is a competition conducted by a team led by Dr. Tao Hong that invites submissions around the world for forecasting energy demand. [1] GEFCom was first held in 2012 on Kaggle , [ 2 ] and the second GEFCom was held in 2014 on CrowdANALYTIX.
Google Code Competitions – Discontinued on July 1. Google Universal Analytics – Shut down on July 1 and replaced by Google Analytics 4. [40] Conversational Actions – Extended the functionality of Google Assistant by allowing 3rd party developers to create custom experiences, or conversations, for users of Google Assistant. Shut down in June.
In addition to the USACO Training Pages, a new resource rising in popularity is the USACO Guide, [1] a subproject of the Competitive Programming Initiative run by USACO competitors who have done well in past USACO competitions. It is a collection of the concepts covered by USACO to help new participants perform better in the competition.
Data science is an interdisciplinary field [10] focused on extracting knowledge from typically large data sets and applying the knowledge from that data to solve problems in other application domains.