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

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

    Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high-quality training datasets. [1] High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to ...

  3. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    RAWPED is a dataset for detection of pedestrians in the context of railways. The dataset is labeled box-wise. 26000 Images Object recognition and classification 2020 [70] [71] Tugce Toprak, Burak Belenlioglu, Burak Aydın, Cuneyt Guzelis, M. Alper Selver OSDaR23 OSDaR23 is a multi-sensory dataset for detection of objects in the context of railways.

  4. Template:Netflix title - Wikipedia

    en.wikipedia.org/wiki/Template:Netflix_title

    This is a template to generate links to Netflix. Template parameters [Edit template data] Parameter Description Type Status Title number id 1 Number of the Netflix title, taken from the numbers at the end of its Netflix URL. Default Wikidata property P1874 Number optional Title name title 2 Name of the production, which may include the year made (in parentheses). Default {{PAGENAMEBASE ...

  5. 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.

  6. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  7. Template:Netflix original animated series and films - Wikipedia

    en.wikipedia.org/wiki/Template:Netflix_original...

    To change this template's initial visibility, the |state= parameter may be used: {{Netflix original animated series and films | state = collapsed}} will show the template collapsed, i.e. hidden apart from its title bar. {{Netflix original animated series and films | state = expanded}} will show the template expanded, i.e. fully visible.

  8. Template:Netflix - Wikipedia

    en.wikipedia.org/wiki/Template:Netflix

    Template documentation For external links to titles on Netflix, see Template:Netflix title . This template's initial visibility currently defaults to autocollapse , meaning that if there is another collapsible item on the page (a navbox, sidebar , or table with the collapsible attribute ), it is hidden apart from its title bar; if not, it is ...

  9. 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.