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The Makridakis Competitions (also known as the M Competitions or M-Competitions) are a series of open competitions to evaluate and compare the accuracy of different time series forecasting methods. They are organized by teams led by forecasting researcher Spyros Makridakis and were first held in 1982. [1] [2] [3] [4]
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.
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.
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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.
Building agent-based market simulation models for price forecasting of real-world stocks and other securities Altreva; Utrecht, Netherlands Proprietary; free evaluation version available for research and experimentation (some limitations but no expiration) No programming skills required.
Quest Software: SMBs and enterprises Proprietary: Access, IBM Db2, Informix, MySQL, MariaDB, PostgreSQL, MS SQL Server, SQLite, Oracle: Windows Standalone 2005 (before this date known as CaseStudio) Tool Creator Target Business Size License Supported Database Platforms Supported OSs Standalone or bundled into a larger toolkit Launch Date
Audio features extracted using MARSYAS software. 1,059 Text Geographic classification, clustering 2014 [138] [139] F. Zhou et al. Million Song Dataset Audio features from one million different songs. Audio features extracted. 1M Text Classification, clustering 2011 [140] [141] T. Bertin-Mahieux et al. MUSDB18 Multi-track popular music recordings