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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. As of May 2023, Bootstrap is the 17th most starred ...

  3. Bootstrapping (statistics) - Wikipedia

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

    The bootstrap sample is taken from the original by using sampling with replacement (e.g. we might 'resample' 5 times from [1,2,3,4,5] and get [2,5,4,4,1]), so, assuming N is sufficiently large, for all practical purposes there is virtually zero probability that it will be identical to the original "real" sample. This process is repeated a large ...

  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 rather than the typical residuals used in traditional boosting. It gives a prediction model in the form of an ensemble of weak prediction models, i.e., models that make very few assumptions about the data, which are ...

  5. Comparison of JavaScript-based web frameworks - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_JavaScript...

    Comparison of JavaScript-based web frameworks. This is a comparison of web frameworks for front-end web development that are heavily reliant on JavaScript code for their behavior.

  6. Mercury could have an 11-mile underground layer of diamonds ...

    www.aol.com/mercury-could-11-mile-underground...

    Charlier warns that the thickness of the diamond layer, between 15 and 18 kilometers (9.3 and 11.1 miles), is only an estimate, and it might change because the process of formation of the diamonds ...

  7. Bootstrap aggregating - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_aggregating

    v. t. e. Bootstrap aggregating, also called bagging (from b ootstrap agg regat ing ), is a machine learning ensemble meta-algorithm designed to improve the stability and accuracy of machine learning algorithms used in statistical classification and regression. It also reduces variance and helps to avoid overfitting.

  8. Resampling (statistics) - Wikipedia

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

    The best example of the plug-in principle, the bootstrapping method. Bootstrapping is a statistical method for estimating the sampling distribution of an estimator by sampling with replacement from the original sample, most often with the purpose of deriving robust estimates of standard errors and confidence intervals of a population parameter like a mean, median, proportion, odds ratio ...

  9. Wikipedia:Templates - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Templates

    Templates are pages that are embedded (transcluded) into other pages to allow for the repetition of information. Wikipedia:List of infoboxes for infoboxes, which are small panels that summarize key features of the page's subject. Wikipedia:Requested templates, to request creation of a template. Use this form to search in the Template: or ...