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  2. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Data about cybersecurity strategies from more than 75 countries. Tokenization, meaningless-frequent words removal. [366] Yanlin Chen, Yunjian Wei, Yifan Yu, Wen Xue, Xianya Qin APT Reports collection Sample of APT reports, malware, technology, and intelligence collection Raw and tokenize data available. All data is available in this GitHub ...

  3. Database dump - Wikipedia

    en.wikipedia.org/wiki/Database_dump

    A database dump contains a record of the table structure and/or the data from a database and is usually in the form of a list of SQL statements ("SQL dump"). A database dump is most often used for backing up a database so that its contents can be restored in the event of data loss. Corrupted databases can often be recovered by analysis of the dump.

  4. Common Crawl - Wikipedia

    en.wikipedia.org/wiki/Common_Crawl

    3.1 Crawl conducted from March 20 to April 2, 2023 February 2023 400 3.15 Crawl conducted from January 26 to February 9, 2023 December 2022 420 3.35 Crawl conducted from November 26 to December 10, 2022 October 2022 380 3.15 Crawl conducted in September and October 2022 April 2021 320 3.1 November 2018 220 2.6 October 2018 240 3.0 September 2018

  5. Data set - Wikipedia

    en.wikipedia.org/wiki/Data_set

    Various plots of the multivariate data set Iris flower data set introduced by Ronald Fisher (1936). [1]A data set (or dataset) is a collection of data.In the case of tabular data, a data set corresponds to one or more database tables, where every column of a table represents a particular variable, and each row corresponds to a given record of the data set in question.

  6. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    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.

  7. CIFAR-10 - Wikipedia

    en.wikipedia.org/wiki/CIFAR-10

    The CIFAR-10 dataset (Canadian Institute For Advanced Research) is a collection of images that are commonly used to train machine learning and computer vision algorithms. It is one of the most widely used datasets for machine learning research.

  8. Group method of data handling - Wikipedia

    en.wikipedia.org/wiki/Group_method_of_data_handling

    To choose between models, two or more subsets of a data sample are used, similar to the train-validation-test split. GMDH combined ideas from: [ 8 ] black box modeling , successive genetic selection of pairwise features , [ 9 ] the Gabor's principle of "freedom of decisions choice", [ 10 ] and the Beer's principle of external additions.

  9. Panel data - Wikipedia

    en.wikipedia.org/wiki/Panel_data

    Panel data is a subset of longitudinal data where observations are for the same subjects each time. Time series and cross-sectional data can be thought of as special cases of panel data that are in one dimension only (one panel member or individual for the former, one time point for the latter).