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  2. Final Fantasy XIV: Endwalker - Wikipedia

    en.wikipedia.org/wiki/Final_Fantasy_XIV:_Endwalker

    [10] [13] [14] Expansions for Final Fantasy XIV are designed to compete with offline RPGs in length and content. [ 4 ] [ 15 ] In terms of content, roughly 70% of development time is devoted to standard features common to every expansion, such as new dungeons and classes, and 30% is devoted to creating unique features and modes of gameplay. [ 12 ]

  3. Final Fantasy XIV: Stormblood - Wikipedia

    en.wikipedia.org/wiki/Final_Fantasy_XIV:_Stormblood

    Final Fantasy XIV: Stormblood Original Soundtrack collects music from the launch of the expansion pack to Patch 4.3, "Under the Moonlight". The album was released by Square Enix on July 4, 2018, on Blu-ray Disc and includes a code for an exclusive "Wind-up Tsukuyomi" in-game pet. [ 55 ]

  4. Final Fantasy XIV - Wikipedia

    en.wikipedia.org/wiki/Final_Fantasy_XIV

    Final Fantasy XIV [c] is a massively multiplayer online role-playing game (MMORPG) developed and published by Square Enix.Directed and produced by Naoki Yoshida and released worldwide for PlayStation 3 and Windows in August 2013, it replaced the failed 2010 version, with subsequent support for PlayStation 4, macOS, PlayStation 5, and Xbox Series X/S.

  5. I Got a Cheat Skill in Another World and Became Unrivaled in ...

    en.wikipedia.org/wiki/I_Got_a_Cheat_Skill_in...

    Titled I Got a Cheat Skill in Another World and Became Unrivaled in the Real World, Too: The Story of Kaori Hōjō ~ The Ignorant Young Lady Saved the World Behind the Scenes (異世界でチート能力を手にした俺は、現実世界をも無双する 宝城佳織伝 ~常識知らずなお嬢様は陰で世界を救っていた~), and ...

  6. IEFBR14 - Wikipedia

    en.wikipedia.org/wiki/IEFBR14

    IEFBR14 consisted initially of a single instruction a "Branch to Register" 14. The mnemonic used in the IBM Assembler was BR and hence the name: IEF BR 14.BR 14 is identically equivalent to BCR 15,14 (Branch Always [ mask = 15 = always ] to the address contained in general purpose register 14).

  7. 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.