Tutorial. - M.: Publishing House "SCIENTIFIC LIBRARY", 2021. - 250 p.
ISBN 978-5-907497-06-1
The textbook is devoted to a new direction in the theory of measurements and intelligent data processing for modeling and digitalization of activities.
The basis of the methodology is the regularizing Bayesian approach (RBP) and the Bayesian intelligent technologies implemented on its basis.
The textbook presents the theoretical foundations of modeling and digitalization under conditions of uncertainty, the RBP methodology, a number of new measurement technologies and intelligent information processing.
The software complex "Infoanalyst" is proposed, which is a technological platform for the rapid development of applied information systems focused on functioning under conditions of uncertainty.
The tutorial provides examples of solving a number of typical practical problems based on BIT for various activities.
The textbook is intended for masters, graduate students, faculty of higher educational institutions, as well as a wide range of specialists in the field of intellectual data processing BIG DATA, DATA SCIENCE, modeling and digitalization.
