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  2. Pattern recognition - Wikipedia

    en.wikipedia.org/wiki/Pattern_recognition

    An example of pattern recognition is classification, which attempts to assign each input value to one of a given set of classes (for example, determine whether a given email is "spam"). Pattern recognition is a more general problem that encompasses other types of output as well.

  3. List of presentation programs - Wikipedia

    en.wikipedia.org/wiki/List_of_presentation_programs

    AppleWorks (formerly ClarisWorks presentation editing) - Classic Mac OS, Mac OS X, Windows 2000 or later; CA-Cricket Presents - Apple Macintosh, Windows; Gobe Productive - BeOS, Linux, Windows; Harvard Graphics - DOS, Windows; IBM Lotus Symphony - Linux, Mac OS X, Windows; Lotus Freelance Graphics - Windows; Jarte - Windows; MagicPoint - Unix ...

  4. Feature (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Feature_(machine_learning)

    In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a data set. [1] Choosing informative, discriminating, and independent features is crucial to produce effective algorithms for pattern recognition, classification, and regression tasks.

  5. SlideShare - Wikipedia

    en.wikipedia.org/wiki/SlideShare

    SlideShare is an American hosting service, now owned by Scribd, for professional content including presentations, infographics, documents, and videos. Users can upload files privately or publicly in PowerPoint, Word, or PDF format. Content can then be viewed on the site itself, on mobile devices or embedded on other sites.

  6. Presentation slide - Wikipedia

    en.wikipedia.org/wiki/Presentation_slide

    A slide is a single page of a presentation. A group of slides is called a slide deck. A slide show is an exposition of a series of slides or images in an electronic device or on a projection screen. Before personal computers, they were 35 mm slides viewed with a slide projector [1] or transparencies viewed with an overhead projector.

  7. Outline of machine learning - Wikipedia

    en.wikipedia.org/wiki/Outline_of_machine_learning

    The following outline is provided as an overview of, and topical guide to, machine learning: . Machine learning (ML) is a subfield of artificial intelligence within computer science that evolved from the study of pattern recognition and computational learning theory. [1]

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