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  2. craigslist - Wikipedia

    en.wikipedia.org/wiki/Craigslist

    This is an accepted version of this page This is the latest accepted revision, reviewed on 12 February 2025. Classified advertisements website Craigslist Inc. Logo used since 1995 Screenshot of the main page on January 26, 2008 Type of business Private Type of site Classifieds, forums Available in English, French, German, Dutch, Spanish, Italian, Portuguese Founded 1995 ; 30 years ago (1995 ...

  3. USS Pivot (MSO-463) - Wikipedia

    en.wikipedia.org/wiki/USS_Pivot_(MSO-463)

    USS Pivot (AM-463/MSO-463) was an Aggressive-class minesweeper acquired by the U.S. Navy for the task of removing mines that had been placed in the water to prevent the safe passage of ships. The second ship to be named Pivot by the Navy, AM–463 was laid down 31 March 1952 by Wilmington Boat Works , Wilmington, California ; launched 9 January ...

  4. Globe Wernicke - Wikipedia

    en.wikipedia.org/wiki/Globe_Wernicke

    The company patented the "elastic bookcases" also known as a modular bookcase or barrister's bookcase. These were high-quality stacking book shelves, with a standard width of 34 inches, in oak, walnut and mahogany, capable of being adapted to fit together to form a bookcase which could either be all of the same measurements or which could be ...

  5. Ventura County, California - Wikipedia

    en.wikipedia.org/wiki/Ventura_County,_California

    Ventura County typically has limited housing inventory, making it a consistently expensive location in Southern California, where it is usually the third-most-expensive county behind Orange and Los Angeles counties. [92] As of March 2018, the county was not on track to meet its state-mandated housing goals. Individual cities are responsible for ...

  6. Loss functions for classification - Wikipedia

    en.wikipedia.org/wiki/Loss_functions_for...

    In machine learning and mathematical optimization, loss functions for classification are computationally feasible loss functions representing the price paid for inaccuracy of predictions in classification problems (problems of identifying which category a particular observation belongs to). [1]