Open AccessPOSSIBILITIES OF APPLICATION MACHINE LEARNING METHODS IN SOLVING ANALYTICAL PROBLEMS IN METALLURGICAL INDUSTRY
Author(s) -
Diana Yusupova,
Sergey Muzalev
Publication year - 2021
Publication title -
russian journal of management
Language(s) - English
Resource type - Journals
eISSN - 2500-1469
pISSN - 2409-6024
DOI - 10.29039/2409-6024-2021-9-3-61-65
Subject(s) - artificial intelligence , computer science , relation (database) , corporation , field (mathematics) , machine learning , key (lock) , industrial engineering , engineering , data mining , mathematics , computer security , finance , pure mathematics , economics
Background.
Machine learning is a promising field for organization in the age of development of high-tech methods of management and organization of the company. As a rule, this term is used in relation to artificial intelligence, namely, machines that could learn independently. Thus, the main goal of this work is to assess the prospects for using these methods for solving various problems in a corporation.
Methods.
The article introduces the main methods of machine learning, their analysis, linear and non-linear learning methods are given, their use in practice is indicated, and the key advantages of using a trained artificial intelligence in a company are identified.
Result.
As a result, the author proposes ways of using machine learning methods in a firm, analyzes their advantages and disadvantages, identifies the problems of implementing artificial intelligence learning opportunities in practice.