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  2. Comma-separated values - Wikipedia

    en.wikipedia.org/wiki/Comma-separated_values

    Most database programs can export data as CSV. Most spreadsheet programs can read CSV data, allowing CSV to be used as an intermediate format when transferring data from a database to a spreadsheet. CSV is also used for storing data. Common data science tools such as Pandas include the option to export data to CSV for long-term storage. [10]

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

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

    30+ files (v0.9) CSV Anomaly detection: 2020 (continually updated) [329] [330] Iurii D. Katser and Vyacheslav O. Kozitsin On the Evaluation of Unsupervised Outlier Detection: Measures, Datasets, and an Empirical Study Most data files are adapted from UCI Machine Learning Repository data, some are collected from the literature.

  4. NetCDF - Wikipedia

    en.wikipedia.org/wiki/NetCDF

    The scientific data type layer identifies specific types of data, such as grids, images, and point data, and adds specialized methods for each kind of data. The data model of the data access layer is a generalization of the NetCDF-3 data model, and substantially the same as the NetCDF-4 data model.

  5. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Word2vec is a group of related models that are used to produce word embeddings.These models are shallow, two-layer neural networks that are trained to reconstruct linguistic contexts of words.

  6. COVID-19 pandemic in Tamil Nadu - Wikipedia

    en.wikipedia.org/wiki/COVID-19_pandemic_in_Tamil...

    The first case of the COVID-19 pandemic in the Indian state of Tamil Nadu was reported on 7 March 2020.. The largest single-day spike (36,987 cases) was reported on 13 May 2021 and Tamil Nadu now has the fourth highest number of confirmed cases in India after Maharashtra, Kerala and Karnataka.

  7. Simple matching coefficient - Wikipedia

    en.wikipedia.org/wiki/Simple_matching_coefficient

    Given two objects, A and B, each with n binary attributes, SMC is defined as: = = + + + +. where is the total number of attributes where A and B both have a value of 0,; is the total number of attributes where A and B both have a value of 1,