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  2. Specials (Unicode block) - Wikipedia

    en.wikipedia.org/wiki/Specials_(Unicode_block)

    The text editor could replace this byte with the replacement character to produce a valid string of Unicode code points for display, so the user sees "f r". A poorly implemented text editor might write out the replacement character when the user saves the file; the data in the file will then become 0x66 0xEF 0xBF 0xBD 0x72.

  3. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Word2vec is a group of related models that are used to produce word embeddings.These models are shallow, two-layer neural networks that are trained to reconstruct linguistic contexts of words.

  4. Gradient boosting - Wikipedia

    en.wikipedia.org/wiki/Gradient_boosting

    Gradient boosting is a machine learning technique based on boosting in a functional space, where the target is pseudo-residuals instead of residuals as in traditional boosting.

  5. Wikipedia:Lamest edit wars - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Lamest_edit_wars

    If you want to add a "lame edit war" to this page, keep the following in mind: It must have been an actual edit war. Discussions on talk pages, even over trivially lame details, are not "edit wars" and are, therefore, NOT suitable for this page: we want to encourage such rational debates between users/viewpoints (as opposed to actual edit warring).