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The University of California Irvine hosts the UCI Machine Learning Repository, a data resource which is very popular among machine learning researchers and data mining practitioners. [97] It was created in 1987 and contains 622 datasets from several domains including biology, medicine, physics, engineering, social sciences, games, and others ...
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 ...
Sheu's current research is about semantic computing. [10] Currently, he is a professor at the University of California, Irvine. [1]He is known for starting the field of semantic computing; semantics addresses all the resources including data, documents, tools, devices, processes, and people.
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.
ICS buildings (center and left) viewed from the top of Bren Hall. The Donald Bren School of Information and Computer Sciences, also known colloquially as UCI's School of ICS or simply the Bren School, is an academic unit of the University of California, Irvine (UCI), and the only dedicated school of computer science in the University of California system.
This is a list of datasets for machine learning research. It is part of the list of datasets for machine-learning research. These datasets consist primarily of images or videos for tasks such as object detection, facial recognition, and multi-label classification.
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The following tree was constructed using JBoost on the spambase dataset [3] (available from the UCI Machine Learning Repository). [4] In this example, spam is coded as 1 and regular email is coded as −1. An ADTree for 6 iterations on the Spambase dataset. The following table contains part of the information for a single instance.