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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.
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.
Bootstrapping is a term that refers to various self-sustaining or self-improving processes that do not require external input. It can also be a metaphor for overcoming difficulties or achieving success by one's own efforts. Learn about the origin, applications and examples of bootstrapping in computing, software development and other fields.
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.
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.
A bootloader is a program that boots a computer by loading an operating system or other software from a storage device. Learn about the types, functions, and constraints of bootloaders, and see some common examples such as BIOS, UEFI, GRUB, and iBoot.
A CSS framework is a library for easier, more standards-compliant web design using CSS. Learn about its features, modules, tools, and examples of popular frameworks like Bootstrap and Foundation.
Jackknife resampling is a statistical technique for bias and variance estimation based on omitting one observation at a time. Learn how to use the jackknife for mean estimation, bias correction, and variance estimation with examples and references.