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The Bernoulli model admits a complete statistic. [1] Let X be a random sample of size n such that each X i has the same Bernoulli distribution with parameter p . Let T be the number of 1s observed in the sample, i.e. T = ∑ i = 1 n X i {\displaystyle \textstyle T=\sum _{i=1}^{n}X_{i}} .
NP-complete special cases include the edge dominating set problem, i.e., the dominating set problem in line graphs. NP-complete variants include the connected dominating set problem and the maximum leaf spanning tree problem. [ 3 ] :
The NP-complete problems represent the hardest problems in NP. If some NP-complete problem has a polynomial time algorithm, all problems in NP do. The set of NP-complete problems is often denoted by NP-C or NPC. Although a solution to an NP-complete problem can be verified "quickly", there is no known way to find a solution quickly.
Download the data dump using a BitTorrent client (torrenting has many benefits and reduces server load, saving bandwidth costs). pages-articles-multistream.xml.bz2 – Current revisions only, no talk or user pages; this is probably what you want, and is over 19 GB compressed (expands to over 86 GB when decompressed).
Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]
More than 100 pages use this file. The following list shows the first 100 pages that use this file only. A full list is available.. User:Antiqueight/Draft; User:Brightstarshines/sandbox
In computability theory, a system of data-manipulation rules (such as a model of computation, a computer's instruction set, a programming language, or a cellular automaton) is said to be Turing-complete or computationally universal if it can be used to simulate any Turing machine [1] [2] (devised by English mathematician and computer scientist Alan Turing).
Data processing is the collection and manipulation of digital data to produce meaningful information. [1] Data processing is a form of information processing , which is the modification (processing) of information in any manner detectable by an observer.