akka-discovery is already a transitive dependency of akka-management-cluster-bootstrap but it can be good to define it explicitly in the build of the application to align the Akka versions with other dependencies from the application. The version must be the same across all Akka modules, e.g. akka-actor, akka-discovery and akka-cluster must be of the same version.
In statistics, bootstrapping describes the process of resampling a data set to create many simulated samples. This approach enables users to calculate standard errors, perform hypothesis testing and construct confidence intervals for different types of sample statistics.
To improve the stability of machine learning (ML) algorithms, Bootstrap sampling is used in an ensemble algorithm called Bootstrap aggregating or bagging. In bootstrapping ML, a specific number of equally sized subsets of a data set are extracted with the replacement.
In the physical world, a bootstrap is a small strap or loop at the back of a leather boot that enables the boot to be pulled on. In general use, bootstrapping is leveraging a small initial effort into something larger and more significant. The metaphor, "pulling yourself up by your bootstraps," means to achieve success from a small beginning.
760c119bf3