STATISTICS APPLIED WITH R USING ARTIFICIAL INTELLIGENCE

Abstract

Machine learning within R using inferential statistics in academic fields today is already a reality, that research is directed towards the world of artificial intelligence as an aid within engineering based on tools such as machine learning, in this case with supervised learningand unsupervised learning. It is important because it can be applied in engineering, such as in statistics and the world of artificial intelligence to automate statistical processesof various samples in this area.
 Objective. Perform adescriptive statistic using quantitative data in R through structured programming compared with supervised and unsupervised learning algorithms for decision making in engineering.
 Methodology. This research is descriptive, uses the Methodology of Construction of an Algorithm for the systemic Learning of students of the first semester of the subject of ICTs (Mejía E. et al, 2018) adapted to the use of artificial intelligence algorithms, which provides effective methods that allow to implement adescriptive statistic, to perform programs using functions and procedures within R. Tests were carried out with third-semester students of the ESPOCH Statistics career to determine with structured programming (before) and artificial intelligence algorithms (after).
 Results. Students using structured programming to obtain these statistics only 36.84% reach n to complete the work, while students using artificial intelligence algorithms reach 84.21%, to conclude the work.
 Conclusion. It is concluded that under the parameters of use of artificial intelligence algorithms to obtain a descriptive statistic for engineering, makes decisions with percentages that favor these techniques provided by the researchersis, this result He tells us that the second option is the best, obtaining in statistical terms very favorableconditions to insert this technique and methodology in engineering environments. Students with these algorithms that use supervised and unsupervised learning will have an extra plus when performing this type of statistics in the professional environment.