영어에서 Some algorithms 을 사용하는 예와 한국어로 번역
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Colloquial
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Ecclesiastic
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Ecclesiastic
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Programming
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Computer
Um, working on some algorithms.
Using some algorithms to connect to the Wifi.
But first, we want to look at some algorithms.
However, some algorithms have special features.
Namely, loading data, looking at the data, evaluating some algorithms and making some predictions.
However, some algorithms cannot be simple iterative loops.
An algorithm that uses exponential resources is clearly superpolynomial, but some algorithms are only very weakly superpolynomial.
Some algorithms and data structures can be a little unclear in UML.
Different algorithms may implement different ways to determine the best value, and some algorithms may be more cost/time-efficient than others.
Some algorithms were up to 100 times better at identifying white faces.
If a critical section of the code is needed to run faster or if some algorithms are not open, some programs can be written in C or C++, and then used in the Python program.
Some algorithms are more secure but they slow you down; others are fast but not as secure.
For the same business problem, you can use different algorithms and each algorithm produces a different result, and some algorithms can produce more than one type of result.
In addition, some algorithms are more sensitive to the number of data points than others.
These leaves need not be explicit in computer memory- a null child pointer can encode the fact that this child is a leaf- but it simplifies some algorithms for operating on red-black trees if the leaves really are explicit nodes.
Some algorithms are slow compared to those discussed above, such as the bogosort with unbounded run time and the stooge sort which has O(n2.7) run time.
While you can use different algorithms to perform the same business task, each algorithm produces a different result, and some algorithms can produce more than one type of result.
Some algorithms in C++, such as find-if, search, and count are sequence operations that don't make changes, while remove, reverse, and replace are algorithms that modify operations.
Some algorithms require specific data types and specific content types to be able to function correctly.
The term sub-exponential time is used to express that the running time of some algorithm may grow faster than any polynomial but is still significantly smaller than an exponential.
When a data is moving outside company some security algorithms applied.
And that's built into java and also some classic algorithms depend on that.
While some vision algorithms can tolerate some variation in light, a well designed implementation will remove any uncertainty.
If new data points were being added over time, some clustering algorithms could.
Note that some regression algorithms can be used for classification as well, and vice versa.
Some learning algorithms make particular assumptions about the structure of the data or the desired results.
Some social algorithms are like bossy waiters: they solicit your preferences and then recommend a menu.
Some vision algorithms can tolerate some light variations, but well-designed lighting just removes any uncertainty.