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Price: 1120.00 RUB
Product Title: Maxim Igorevich Beskhmelnov – Application of Machine Learning Algorithms for Studying Organizational Competitiveness in the Digital Economy
Description:
In an era defined by the explosive growth of digital information, this research by Maxim Igorevich Beskhmelnov offers a timely analysis of how machine learning can be used to assess organizational competitiveness. The shift from paper-based records to digital data, driven by widespread information and communication technologies, has opened new possibilities for working with ever-increasing volumes of information and extracting knowledge from semi-structured datasets.
Despite the relatively short period of active industrial use of digital media, the volume of data has grown exponentially year after year, a direct consequence of converting data from various human activities into digital form. By 2016, the accumulated amount of data was estimated at 16 zettabytes, and according to forecasts from the analytical company IDC, by 2025, total data volume is expected to reach 163 zettabytes.
Against this backdrop, methods for storing, processing, searching, and extracting knowledge from data have become paramount. This technology is known as the end-to-end digital technology "Big Data." By 2024, the state aims to implement a comprehensive digital transformation of Russia's economy and social sphere. This work provides a foundational study for organizations seeking to leverage machine learning for competitive advantage in a data-driven world.
Price: 1120.00 RUB
