Research and development of actual receptions, technologies and methods applicable in the solution of applied problems of machine learning for the purpose of predictive analysis

Abstract

A study was made of relevant techniques, technologies and techniques used to solve applied problems of machine learning, based on materials from scientific articles in highly rated journals of foreign researchers, ana-lytical and review notes from open sources, as well as technical documentation and press releases of technical and software solutions. The search for new methods of model selection, cross-validation, evolutionary and analytical selection of training algorithms is of both scientific and purely practical interest. The development of machine learning technologies will only accelerate in the near future. Currently, we are witnessing progress in the develop-ment of automated search methods for constructing effective learning models for data analysis that are applicable to many practical problems of data mining. During the review of modern trends in machine learning, we identified promising areas of fundamental and applied research in this field.