MACHINE LEARNING (ML) AND DEEP LEARNING (DL) ALGORITHMS AND ITS UTILIZING IN APPLIED APPLICATIONS

In this article the authors make the current review of machine learning algorithms in order to explain the principles on which they work and show examples of decisions based on them. The article will be considered: the main semantic of Machine Learning (ML), basic determination of the term Machine learning (ML) and different points of view on this of researchers and developers of expert organizations; Models of the ML and visual representation of them; Process of training of machines; Deep Learning (DL) and basic algorithms of deep neural networks as base of DL; Algorithms of machine learning in applied applications. The purpose of this article is to provide an expert perspective on how the machine learning is determined, and how it works to readers from business area, and prospective businessmen and students.