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  1. en.wikipedia.org › wiki › Shiga_LinShiga Lin - Wikipedia

    Life and career. 1988–2010: Early life. Shiga Lin was born on 29 June 1988 in Hong Kong as the only child in her family. [1] [2] While her parents are from Hong Kong, her mother had acquired naturalised Japanese citizenship after studying and living in Japan. As a result, Lin became a Japanese citizen by birthright.

  2. the free encyclopedia that anyone can edit. 6,831,515 articles in English. From today's featured article. Reverse of the double sovereign. The double sovereign is a gold coin of the United Kingdom with a nominal value of two pounds sterling (£2).

  3. en.wikipedia.org › wiki › WikipediaWikipedia - Wikipedia

    Wikipedia [c] is a free content online encyclopedia written and maintained by a community of volunteers, known as Wikipedians, through open collaboration and the wiki software MediaWiki.

  4. en.wikipedia.org › wiki › RenaissanceRenaissance - Wikipedia

    Florence, birthplace of the Italian Renaissance.The architectural perspective and new systems of banking and accounting were introduced during the time. The Renaissance (UK: / r ə ˈ n eɪ s ən s / rən-AY-sənss, US: / ˈ r ɛ n ə s ɑː n s / REN-ə-sahnss) is a period of history and a European cultural movement covering the 15th and 16th centuries.

  5. The English Wikipedia is the primary [a] English-language edition of Wikipedia, an online encyclopedia. It was created by Jimmy Wales and Larry Sanger on 15 January 2001, as Wikipedia's first edition. English Wikipedia is hosted alongside other language editions by the Wikimedia Foundation, an American nonprofit organization.

  6. Volodymyr Oleksandrovych Zelenskyy [a] [b] [c] (born 25 January 1978) is a Ukrainian politician and former actor who has been serving as the sixth president of Ukraine since 2019. As the president of Ukraine, he commands the sixth largest and one of the best-funded armed forces in the world as of 2024. [4]

  7. t. e. In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the 'outcome' or 'response' variable, or a 'label' in machine learning parlance) and one or more independent variables (often called 'predictors', 'covariates', 'explanatory variables ...

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