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

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

    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 made available as various sorted types and subtypes.

  3. Orange (software) - Wikipedia

    en.wikipedia.org/wiki/Orange_(software)

    Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.

  4. Overhead Imagery Research Data Set - Wikipedia

    en.wikipedia.org/wiki/Overhead_Imagery_Research...

    The Overhead Imagery Research Data Set (OIRDS) is a collection of an open-source, annotated, overhead images that computer vision researchers can use to aid in the development of algorithms. [1] Most computer vision and machine learning algorithms function by training on a large set of example data. [ 2 ]

  5. Databricks - Wikipedia

    en.wikipedia.org/wiki/Databricks

    In June, it bought the open-source generative AI startup MosaicML for $1.4 billion. [ 18 ] [ 19 ] In October, Databricks bought data replication startup Arcion for $100 million. [ 20 ] In what is believed to be its sixth acquisition, Databricks bought Tabular, a data-management system used by open source AI, for over $1 billion.

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    Discover the best free online games at AOL.com - Play board, card, casino, puzzle and many more online games while chatting with others in real-time.

  7. Savings interest rates today: 'Tis the season for saving at ...

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    The FDIC is an independent government agency charged with maintaining stability and public confidence in the U.S. financial system and providing insurance on consumer deposit accounts.

  8. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data analysis typically involves working with smaller, structured datasets to answer specific questions or solve specific problems. This can involve tasks such as data cleaning , data visualization , and exploratory data analysis to gain insights into the data and develop hypotheses about relationships between variables .

  9. Category:Statistical data sets - Wikipedia

    en.wikipedia.org/wiki/Category:Statistical_data_sets

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