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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. 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.

  4. Multiclass classification - Wikipedia

    en.wikipedia.org/wiki/Multiclass_classification

    Based on learning paradigms, the existing multi-class classification techniques can be classified into batch learning and online learning. Batch learning algorithms require all the data samples to be available beforehand. It trains the model using the entire training data and then predicts the test sample using the found relationship.

  5. Looker Studio - Wikipedia

    en.wikipedia.org/wiki/Looker_Studio

    In Looker Studio, users have the option to create a report from scratch or to use a report template from the Looker Studio Report Gallery. [6] Similar to templates available on other Google applications, these templates are created to make it easier for users to build their reports while still allowing for customization of design elements and other alterations. [6]

  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. Association rule learning - Wikipedia

    en.wikipedia.org/wiki/Association_rule_learning

    When using antecedents and consequents, it allows a data miner to determine the support of multiple items being bought together in comparison to the whole data set. For example, Table 2 shows that if milk is bought, then bread is bought has a support of 0.4 or 40%. This because in 2 out 5 of the transactions, milk as well as bread are bought.

  8. List of academic databases and search engines - Wikipedia

    en.wikipedia.org/wiki/List_of_academic_databases...

    The main academic full-text databases are open archives or link-resolution services, although others operate under different models such as mirroring or hybrid publishers. . Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is availa

  9. Data structure - Wikipedia

    en.wikipedia.org/wiki/Data_structure

    A data structure known as a hash table.. In computer science, a data structure is a data organization and storage format that is usually chosen for efficient access to data. [1] [2] [3] More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data, [4] i.e., it is an algebraic structure about data.