Examples of using Algorithms can in English and their translations into Ukrainian
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Computer
Algorithms can be written in ordinary language.
Have you ever thought algorithms can be fun?
So those algorithms can very well be proprietary.
Present-day dogma holds that organisms are algorithms, and that algorithms can be represented in mathematical formulas.
New algorithms can be easily added to the library.
Belgium's ScriptBook, founded in 2015, says its algorithms can predict a movie's success just by analyzing its script.
Algorithms can be interrogated, and they will tell us the truth every time.
In Belgium, Book ScriptBook was founded in 2015,saying that their algorithms can predict the success of the movie just by analyzing its scenario.
Greedy algorithms can be characterized as being'short sighted', and also as'non-recoverable'.
The personal intelligent assistant(PIA)gets to know the driver and thanks to intelligent algorithms can interact with the user autonomously and adaptively.
Algorithms can sift through all of that data, predict what should happen, and notify you if something doesn't seem right.
By eliminating impossible paths, these algorithms can achieve time complexities as low as O(| E| log(| V|)){\displaystyle O(| E|\ log(| V|))}.
And Danny Hillis, a software architect, is designing a new system called The Underlay, which will be a record of all public statements of fact connected to their sources,so that people and algorithms can better judge what is credible.
Other algorithms can determine those groups' hot-button issues and identify"followers" among them, pinpointing those most susceptible to suggestion.
Typically, this is possible thanks to the great experience,but in reality by algorithms can even surpass the most experienced lawyers looking at a lot of data.
Deterministic algorithms can be defined in terms of a state machine: a state describes what a machine is doing at a particular instant in time.
Google's decision to be honest about the shortcomings of its own algorithm andto acknowledge that current algorithms can be created in a biased way, even when this is not the goal, is critically important in its own right.
Sometimes these algorithms can be accurate, that is they actually find the best solution, but the algorithm is still called heuristic until this best solution is proven to be the best.
But today two-thirds of American adults get some of their news from social media, which rest on a business model that lendsitself to outside manipulation and where algorithms can easily be gamed for profit or malign purposes.
This refers to any situation in which new algorithms can suddenly and dramatically exploit existing computational power far more efficiently than before.
New algorithms can identify and infer the key features directly from the data, sometimes even based on very limited data, taking our understanding further and even completely out of the loop.
Online investment platforms offer more accuratepredictions for stock performance due to the fact that algorithms can test trading systems based on past data and bring the validation process to a whole new level before pushing it live.
More sophisticated algorithms can exploit other information about the scene that is known a priori, for example symmetries, in some cases allowing reconstructions of 3D coordinates from only one camera position.
It takes into account artificial intelligence and how algorithms can“transmit and strengthen” existing gender stereotypes and therefore may contribute to the perpetuation of sexism.
More sophisticated algorithms can exploit other information on the scene known a priori(for example, symmetries in certain cases allowing the rebuilding of three-dimensional co-ordinates starting from one only position of the camera).
What Dota does is show that today's algorithms can go a lot further toward being able to solve those real-world challenges than people realised,” he said.
These algorithms can quite easily infer things like your people's ethnicity, religious and political views, personality traits, intelligence, happiness, use of addictive substances, parental separation, age and genders, just from Facebook likes.
Building a neural network, these algorithms can interpret a whole bunch of genetic, medical and environmental data to predict the health status of a person, for example, the risk of heart attack.
By building a neural network, these algorithms can interpret huge amounts of genetic, health, and environmental data to predict a persons health status, such as their level of risk of heart attack.