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  2. Mathematics - Wikipedia

    en.wikipedia.org/wiki/Mathematics

    Other technical terms are words of the common language that are used in an accurate meaning that may differ slightly from their common meaning. For example, in mathematics, " or " means "one, the other or both", while, in common language, it is either ambiguous or means "one or the other but not both" (in mathematics, the latter is called ...

  3. Worksheet - Wikipedia

    en.wikipedia.org/wiki/Worksheet

    A worksheet, in the word's original meaning, is a sheet of paper on which one performs work. They come in many forms, most commonly associated with children's school work assignments, tax forms, and accounting or other business environments. Software is increasingly taking over the paper-based worksheet.

  4. Multiplication - Wikipedia

    en.wikipedia.org/wiki/Multiplication

    e. Multiplication (often denoted by the cross symbol Ă—, by the mid-line dot operator â‹…, by juxtaposition, or, on computers, by an asterisk *) is one of the four elementary mathematical operations of arithmetic, with the other ones being addition, subtraction, and division. The result of a multiplication operation is called a product .

  5. You can use the app to create visually stunning word clouds like the ones I embedded in this post by inserting words (e.g. speeches, news articles, letters, slogans, themes, and so on). You can do ...

  6. A computer program that can replicate your handwriting - Engadget

    www.engadget.com/2016-08-12-a-computer-program...

    A custom algorithm is able to scan what you've written on a piece of paper and then reproduce your style, to an impressive degree, using whatever words you wish. To capture your scrawl, the team ...

  7. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...

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