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  2. Angular (web framework) - Wikipedia

    en.wikipedia.org/wiki/Angular_(web_framework)

    Google designed Angular as a ground-up rewrite of AngularJS. Unlike AngularJS, Angular does not have a concept of "scope" or controllers; instead, it uses a hierarchy of components as its primary architectural characteristic. [7] Angular has a different expression syntax, focusing on "[ ]" for property binding, and "( )" for event binding. [8]

  3. JavaScript - Wikipedia

    en.wikipedia.org/wiki/JavaScript

    JavaScript (/ ˈ dʒ ɑː v ə s k r ɪ p t / ⓘ), often abbreviated as JS, is a programming language and core technology of the World Wide Web, alongside HTML and CSS. Ninety-nine percent of websites use JavaScript on the client side for webpage behavior. [10] Web browsers have a dedicated JavaScript engine that executes the client code.

  4. Bogosort - Wikipedia

    en.wikipedia.org/wiki/Bogosort

    import random # this function checks whether or not the array is sorted def is_sorted (random_array): for i in range (1, len (random_array)): if random_array [i] < random_array [i-1]: return False return True # this function repeatedly shuffles the elements of the array until they are sorted def bogo_sort (random_array): while not is_sorted (random_array): random. shuffle (random_array) return ...

  5. Reservoir sampling - Wikipedia

    en.wikipedia.org/wiki/Reservoir_sampling

    We want to keep 10 items in memory, and we want them to be selected at random from the sequence. If we know the total number of items n and can access the items arbitrarily, then the solution is easy: select 10 distinct indices i between 1 and n with equal probability, and keep the i -th elements.

  6. Pseudorandom number generator - Wikipedia

    en.wikipedia.org/wiki/Pseudorandom_number_generator

    It can be shown that if is a pseudo-random number generator for the uniform distribution on (,) and if is the CDF of some given probability distribution , then is a pseudo-random number generator for , where : (,) is the percentile of , i.e. ():= {: ()}. Intuitively, an arbitrary distribution can be simulated from a simulation of the standard ...

  7. Wikipedia:Random - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Random

    On Wikipedia and other sites running on MediaWiki, Special:Random can be used to access a random article in the main namespace; this feature is useful as a tool to generate a random article. Depending on your browser, it's also possible to load a random page using a keyboard shortcut (in Firefox , Edge , and Chrome Alt-Shift + X ).

  8. Cryptographically secure pseudorandom number generator

    en.wikipedia.org/wiki/Cryptographically_secure...

    In the asymptotic setting, a family of deterministic polynomial time computable functions : {,} {,} for some polynomial p, is a pseudorandom number generator (PRNG, or PRG in some references), if it stretches the length of its input (() > for any k), and if its output is computationally indistinguishable from true randomness, i.e. for any probabilistic polynomial time algorithm A, which ...

  9. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high-quality training datasets. [1] High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to ...