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  2. Bootstrap (front-end framework) - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_(front-end...

    Bootstrap (formerly Twitter Bootstrap) is a free and open-source CSS framework directed at responsive, mobile-first front-end web development. It contains HTML, CSS and (optionally) JavaScript -based design templates for typography, forms, buttons, navigation, and other interface components.

  3. Bootstrapping (statistics) - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_(statistics)

    Bootstrapping (statistics) Bootstrapping is a procedure for estimating the distribution of an estimator by resampling (often with replacement) one's data or a model estimated from the data. [1] Bootstrapping assigns measures of accuracy (bias, variance, confidence intervals, prediction error, etc.) to sample estimates. [2][3] This technique ...

  4. CSS box model - Wikipedia

    en.wikipedia.org/wiki/CSS_box_model

    Gecko browsers previous than 29.0 support the same functionality using the browser-specific -moz-box-sizing property. [25] border-box is the default box model used in Bootstrap framework.

  5. Bootstrapping (electronics) - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_(electronics)

    Bootstrapping is a technique in the field of electronics where part of the output of a system is used at startup. A bootstrap circuit is one where part of the output of an amplifier stage is applied to the input, so as to alter the input impedance of the amplifier. When applied deliberately, the intention is usually to increase rather than ...

  6. Confidence interval - Wikipedia

    en.wikipedia.org/wiki/Confidence_interval

    The Exploratory Software for Confidence Intervals tutorial programs that run under Excel; Confidence interval calculators for R-Squares, Regression Coefficients, and Regression Intercepts; Weisstein, Eric W. "Confidence Interval". MathWorld. CAUSEweb.org Many resources for teaching statistics including Confidence Intervals.

  7. Ensemble learning - Wikipedia

    en.wikipedia.org/wiki/Ensemble_learning

    Ensemble learning trains two or more Machine Learning algorithms to a specific classification or regression task. The algorithms within the ensemble learning model are generally referred as "base models", "base learners" or "weak learners" in literature. The base models can be constructed using a single modelling algorithm or several different ...

  8. jQuery - Wikipedia

    en.wikipedia.org/wiki/JQuery

    There are thousands of jQuery plug-ins available on the Web [28] that cover a range of functions, such as Ajax helpers, Web services, datagrids, dynamic lists, XML and XSLT tools, drag and drop, events, cookie handling, and modal windows. An important source of jQuery plug-ins is the plugins sub-domain of the jQuery Project website. [28]

  9. Mobirise - Wikipedia

    en.wikipedia.org/wiki/Mobirise

    Mobirise is a freeware web design application that allows users to design and publish bootstrap websites without coding. [3] Mobirise is essentially a drag and drop website builder, [4] featuring various website themes. It is headquartered in Eindhoven, Netherlands.