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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.
JSDelivr is a free content delivery network (CDN) that hosts packages from GitHub, npm, and WordPress.org. It was created by Dmitriy Akulov in 2012 and is powered by other CDN providers, such as Cloudflare and Fastly.
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.
AOL Mail offers secure and personalized email with features like AOL Mail, news, and weather for free. You can also access your email on the go with an iOS & Android app and get help from experts.
RDAP is a network protocol for looking up registration data from Internet resources, such as domain names, IP addresses, and autonomous system numbers. It is a successor to WHOIS, and uses JSON format, HTTP, and RESTful web services.
Learn about different methods of creating new samples based on one observed sample, such as permutation tests, bootstrapping, cross-validation, jackknife and subsampling. Compare their advantages, disadvantages and applications in various fields of statistics.
Out-of-bag error is a method of measuring the prediction error of machine learning models using bootstrap aggregating (bagging). It is the mean prediction error on ...