Get to know Algorithms better with 10+ real example sentences, the meaning.
Algorithms meaning
plural of algorithm
Using Algorithms
- The main meaning on this page is: plural of algorithm
- In the example corpus, algorithms often appears in combinations such as: algorithms to, algorithms and, algorithms are.
Context around Algorithms
- Average sentence length in these examples: 25.7 words
- Position in the sentence: 10 start, 9 middle, 1 end
- Sentence types: 20 statements, 0 questions, 0 exclamations
Corpus analysis for Algorithms
- In this selection, "algorithms" usually appears near the start of the sentence. The average example has 25.7 words, and this corpus slice is mostly made up of statements.
- Around the word, order, illumination, block, behind, cannot and need stand out and add context to how "algorithms" is used.
- Recognizable usage signals include advanced ai algorithms are but and algorithms and data. That gives this page its own corpus information beyond isolated example sentences.
- By corpus frequency, "algorithms" sits close to words such as aiming, chairs and cousin, which helps place it inside the broader word index.
Example types with algorithms
The same corpus examples are grouped by length and sentence type, making it easier to see the contexts in which the word appears:
Generative algorithms are always much harder to build than discriminative algorithms. (11 words)
Faster algorithms Several researchers have tried to find more computationally-efficient algorithms. (12 words)
For many problems, online algorithms cannot match the performance of offline algorithms. (12 words)
Efficient sorting is important for optimizing the use of other algorithms (such as search and merge algorithms) which require input data to be in sorted lists; it is also often useful for canonicalizing data and for producing human-readable output. (40 words)
And so let’s be clear, I mean the tools might — if we think about large-scale generative A.I. systems as being — my friend Suresh Venkatasubramanian often calls them algorithms of algorithms, like at scale and velocity. (38 words)
In 1973, Morgenstern proved an Ω(N log N) lower bound on the addition count for algorithms where the multiplicative constants have bounded magnitudes (which is true for most but not all FFT algorithms). (34 words)
Example sentences (20)
A "way to combine multiple block algorithms" so that "a cryptanalyst must break both algorithms" in §15.8 of Applied Cryptography, Second Edition: Protocols, Algorithms, and Source Code in C by Bruce Schneier.
And so let’s be clear, I mean the tools might — if we think about large-scale generative A.I. systems as being — my friend Suresh Venkatasubramanian often calls them algorithms of algorithms, like at scale and velocity.
The crucial factor in AI performance is no longer how advanced AI algorithms are, but rather the quality of data the algorithms are trained on.
Generative algorithms are always much harder to build than discriminative algorithms.
We know that insurers plan to use AI to reduce biases in underwriting algorithms, make more data-driven decisions, increase customer loyalty, and align existing algorithms with business objectives.
Deep neural networks, the algorithms behind deep learning, have many of the same applications as most of the traditional machine learning algorithms, but can scale to much more sophisticated and complex use cases.
Algorithms and data structures Algorithms and data structures is the study of commonly used computational methods and their computational efficiency.
Algorithms In all of the algorithms below, "m" is the number of edges in the graph and "n" is the number of vertices.
Algorithms that recursively factorize the DFT into smaller operations other than DFTs include the Bruun and QFT algorithms.
An important subclass of special-purpose factoring algorithms is the Category 1 or First Category algorithms, whose running time depends on the size of smallest prime factor.
Another distinction is between image order algorithms, which iterate over pixels of the image plane, and object order algorithms, which iterate over objects in the scene.
As with many useful but computationally complex algorithms, there has been substantial research on creating and analyzing algorithms that approximate a solution.
Efficient sorting is important for optimizing the use of other algorithms (such as search and merge algorithms) which require input data to be in sorted lists; it is also often useful for canonicalizing data and for producing human-readable output.
Expert programmers are familiar with a variety of well-established algorithms and their respective complexities and use this knowledge to choose algorithms that are best suited to the circumstances.
Faster algorithms Several researchers have tried to find more computationally-efficient algorithms.
For many problems, online algorithms cannot match the performance of offline algorithms.
He defines a super-recursive class of algorithms as "a class of algorithms in which it is possible to compute functions not computable by any Turing machine" (Burgin 2005, p. 107).
Images rendered using global illumination algorithms often appear more photorealistic than images rendered using only direct illumination algorithms.
In 1971, L. B. Smith published similar algorithms for all conic sections and proved them to have good properties. citation These algorithms need only a few multiplications and additions to calculate each vector.
In 1973, Morgenstern proved an Ω(N log N) lower bound on the addition count for algorithms where the multiplicative constants have bounded magnitudes (which is true for most but not all FFT algorithms).
Common combinations with algorithms
These word pairs occur most frequently in English texts:
- algorithms to 21×
- algorithms and 20×
- algorithms are 17×
- of algorithms 16×
- ai algorithms 16×
- the algorithms 13×
- algorithms that 13×
- learning algorithms 11×
- algorithms for 10×
- and algorithms 9×