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OpenML: [493] Web platform with Python, R, Java, and other APIs for downloading hundreds of machine learning datasets, evaluating algorithms on datasets, and benchmarking algorithm performance against dozens of other algorithms. PMLB: [494] A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms ...
All major ML and statistical methods have been tested: First winner Slawek Smyl, Uber Technologies 5: M5 Competition: Initial results 2021, Final 2022: Around 42,000 hierarchical timeseries provided by Walmart: All major forecasting methods, including Machine and Deep Learning, and Statistical ones will be tested: First winner Accuracy ...
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 use of Text Mining together with Machine Learning algorithms received more attention in the last years, [26] with the use of textual content from Internet as input to predict price changes in Stocks and other financial markets. The collective mood of Twitter messages has been linked to stock market performance. [27]
The 2011 Federal Virtual World Challenge, advertised by The White House [3] and sponsored by the U.S. Army Research Laboratory's Simulation and Training Technology Center, [3] [4] [5] held a competition offering a total of US$52,000 in cash prize awards for general artificial intelligence applications, including "adaptive learning systems ...
This method is widely used for normalization in many machine learning algorithms (e.g., support vector machines, logistic regression, and artificial neural networks). [4] [5] The general method of calculation is to determine the distribution mean and standard deviation for each feature. Next we subtract the mean from each feature.
Different companies or organizations hold data analysis contests to encourage researchers to utilize their data or to solve a particular question using data analysis. [151] [152] A few examples of well-known international data analysis contests are as follows: [153] Kaggle competition, which is held by Kaggle. [154]
Association rule learning is a rule-based machine learning method for discovering interesting relations between variables in large databases. It is intended to identify strong rules discovered in databases using some measures of interestingness. [ 1 ]