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  2. Category:Artificial intelligence templates - Wikipedia

    en.wikipedia.org/wiki/Category:Artificial...

    [[Category:Artificial intelligence templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Artificial intelligence templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.

  3. Template:Machine learning - Wikipedia

    en.wikipedia.org/wiki/Template:Machine_learning

    Template:Machine learning/styles.css This page was last edited on 11 October 2024, at 05:09 (UTC). Text is available under the Creative Commons ...

  4. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]

  5. Template talk:Machine learning - Wikipedia

    en.wikipedia.org/wiki/Template_talk:Machine_learning

    k-means clustering is a very widely employed method in the machine learning community, e.g. by computer vision folks who use it as a feature learning method, by neural nets folks for booststrapping their RBF networks and by text mining people. New papers employing or improving k-means appear regularly in the ML literature.

  6. Microsoft PowerPoint - Wikipedia

    en.wikipedia.org/wiki/Microsoft_PowerPoint

    In contemporary operation, PowerPoint is used to create a file (called a "presentation" or "deck") containing a sequence of pages (called "slides" in the app) which usually have a consistent style (from template masters), and which may contain information imported from other apps or created in PowerPoint, including text, bullet lists, tables ...

  7. Curriculum learning - Wikipedia

    en.wikipedia.org/wiki/Curriculum_learning

    Curriculum learning is a technique in machine learning in which a model is trained on examples of increasing difficulty, where the definition of "difficulty" may be provided externally or discovered automatically as part of the training process.

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