Examples of using Many algorithms in English and their translations into Ukrainian
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Computer
How many algorithms are there?
Home_Automation eHouse is an advanced solution for electronic home,having implemented many algorithms, which operate independently of each other.
Many algorithms exist for solving such problems;
For image segmentation many algorithms and techniques have been developed.
Many algorithms exist to prevent overfitting.
Although even if the leak did not take place, there are many algorithms that would allow to draw a conclusion about the entire network, based on data on its part.
Many algorithms implement the face-detection task as a binary pattern-classification task.
The environment in reinforcement machine learning isusually formulated as a Markov decision process(MDP) since many algorithms for training with reinforcements for this context use dynamic programming techniques.
There are many algorithms for training neural networks;
Many algorithms solve this problem by starting with an initial approximation x0 to 2{\displaystyle{\sqrt{2}}}.
This is beneficial for many algorithms based on such queries, for example the Local Outlier Factor.
Many algorithms in machine learning require a numerical representation of objects, since such representations facilitate processing and statistical analysis.
Although finite-time performance bounds appeared for many algorithms in the recent years, these bounds are expected to be rather loose and thus more work is needed to better understand the relative advantages, as well as the limitations of these algorithms. .
Many algorithms exist for solving such problems; popular ones for linear classification include(stochastic) gradient descent, L-BFGS, coordinate descent and Newton methods.
Provided so many algorithms, that for a detailed description of all of them and not enough bulk book.
Many algorithms solve this problem by starting with an initial approximation x1 to\sqrt{2}, for instance x1=1.4, and then computing improved guesses x2, x3, etc….
Today, there are many algorithms of machine learning that can actually feel, think and act through various applications.
Many algorithms for computing Delaunay triangulations rely on fast operations for detecting when a point is within a triangle's circumcircle and an efficient data structure for storing triangles and edges.
At the moment, there are many algorithms for rendering images, the most popular are v-ray, corona render, mental ray, and cycless.
As a result, many algorithms such as quicksort and binary search degenerate into bad algorithms that are even less efficient than their naïve alternatives;
This multi-stage process is used because many algorithms for code optimization are easier to apply one at a time, or because the input to one optimization relies on the completed processing performed by another optimization.
But the presentation of AI algorithms inclines many people to believe that these algorithms are necessarily correct and"objective.".
There are many different algorithms.
There are many boosting algorithms.
In the market many new algorithms with different characteristics.
Many sorting algorithms(the same array) better expressed in a recursive form.
Improvements to Soundex are the basis for many modern phonetic algorithms.
The main variation between many boosting algorithms is their method of weighting training data points and hypotheses.
Many volume visualization algorithms are computationally expensive and demand large data storage.
Skeletons have several different mathematical definitions in the technical literature,and there are many different algorithms for computing them.