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

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

    The datasets are classified, based on the licenses, as Open data and Non-Open data. The datasets from various governmental-bodies are presented in List of open government data sites. The datasets are ported on open data portals. They are made available for searching, depositing and accessing through interfaces like Open API. The datasets are ...

  3. 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.

  4. Financial data vendor - Wikipedia

    en.wikipedia.org/wiki/Financial_data_vendor

    Analysis of historical market data provides a larger snapshot of the market at the expense of timely information (time inbetween database updates). Alternative data (finance) vendors offer non-traditional datasets, typically defined as those that do not originate from securities exchanges, regulatory disclosures, or economic release indicators.

  5. Alternative data (finance) - Wikipedia

    en.wikipedia.org/wiki/Alternative_data_(finance)

    [1] [2] These data sets are often used by hedge fund managers and other institutional investment professionals within an investment company. [3] [4] [5] Alternative data sets are information about a particular company that is published by sources outside of the company, which can provide unique and timely insights into investment opportunities ...

  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. Market data - Wikipedia

    en.wikipedia.org/wiki/Market_data

    In finance, market data is price and other related data for a financial instrument reported by a trading venue such as a stock exchange. Market data allows traders and investors to know the latest price and see historical trends for instruments such as equities , fixed-income products, derivatives , and currencies .

  8. kdb+ - Wikipedia

    en.wikipedia.org/wiki/Kdb+

    In 1998, KX released kdb, a database built on the language K written by Arthur Whitney.In 2003, kdb+ was released as a 64-bit version of kdb. In 2004, the kdb+ tick market database framework was released along with kdb+ taq, a loader for the New York Stock Exchange (NYSE) taq data. kdb+ was created by Arthur Whitney, building on his prior work with array languages.

  9. Stock market data systems - Wikipedia

    en.wikipedia.org/wiki/Stock_market_data_systems

    In 1884 the Dow Jones company published the first stock market averages, and in 1889 the first issue of the Wall Street Journal appeared. As time passed, other newspapers added market pages. [ 5 ] The New York Times was first published in 1851, and added stock market tables at a later date.