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Bootstrap is a free and open-source library that simplifies the creation of responsive, mobile-first web pages with HTML, CSS and JS. It provides design templates, components and utilities for typography, forms, navigation, and more.
Bootstrap aggregating, or bagging, is a machine learning ensemble meta-algorithm that improves stability and accuracy of classification and regression methods. It generates multiple training sets by sampling with replacement from the original dataset and combines the models by averaging or voting.
Foundation is a free and open source framework for building responsive web sites and applications with HTML, CSS, Sass and JavaScript. It offers a grid system, UI components, templates, and code snippets for various devices and browsers.
Mobirise is a drag and drop website builder that allows users to design and publish bootstrap websites without coding. It was released in 2015 and supports various themes, extensions, animations and mobile-friendly updates.
OpenCms is a cross-platform CMS application with a browser-based work environment, asset management, user management, workflow management, and more features. It was launched in 1999 and is distributed by Alkacon Software under the LGPL license.
Bootstrap Studio is a proprietary web design and development application that supports Bootstrap framework and CSS grid. It is cross-platform, WYSIWYG, and offers a large number of components for building responsive pages and prototypes.
In statistics, the bootstrap error-adjusted single-sample technique (BEST or the BEAST) is a non-parametric method that is intended to allow an assessment to be made of the validity of a single sample.
Bootstrapping is a procedure for estimating the distribution of an estimator by resampling data or a model. Learn the history, approach, advantages, disadvantages and recommendations of bootstrapping in statistics.