What are Machine learning algorithms in Python? Which guide should I choose?"- This guide explains explicitly the operation of Machine Learning methods and how to implement them in Python. Whether you ...

This repository contains my data mining laboratory works from the 4th course of Computer Science in KhNU by the name of V. N. Karazin.

Implementation of a genetic algorithm to solve the Knapsack problem with a capacity C and a given set of N objects. The genetic fitness function sums up the profits of the objects in the Knapsack.

Abstract: Polar codes have been applied for physical downlink control channel in the 5 th generation wireless communication system. Although successive cancellation flip (SCF) decoding algorithm can ...

Abstract: In the software industry, testing operation represents a challenging task that is independent of software product quality control. Traditional and common software testing methods are time ...

This paper presents an implementation of the parallelization of genetic algorithms. Three models of parallelized genetic algorithms are presented, namely the Master-Slave genetic algorithm, the Coarse ...

Genetic algorithms (GA) and machine learning (ML) have a long history of development and use in chemistry. Recent algorithmic and computational advances, however, have brought these methods to the ...

Since at least 1950, when Alan Turing’s famous “Computing Machinery and Intelligence” paper was first published in the journal Mind, computer scientists interested in artificial intelligence have been ...

Researchers identified changes in the genetic code used to translate DNA into protein. Credit: Tomislav Alajbeg In the April issue of Molecular Biology and Evolution, a group of researchers including ...