APPLICATION AND ALGORITHMS OF MACHINE LEARNING IN BIG DATA ANALYSIS
Keywords:
big data, machine learning, information analysis, processing methods, algorithm, data volume, data flow, technology, computer, statistics.Abstract
This article is devoted to studying the importance and specifics of machine learning in big data analysis. The modern world is filled with a wide variety of data, and its volume increases many times over every year. On the one hand, Big Data is data that cannot be processed on one computer and is difficult to structure. On the other hand, these are special tools, approaches and methods of data processing that are used so that a person can obtain the specific results he needs for their further effective use.
References
G.M. Baenova, A.K. Zhumadillaeva. Fundamentals of Big Data: textbook / ENU named after. L.N. Gumileva, 2022. - 130, [1].
M. Mehta, P. Fournier-Viger, M. Patel, J. Chun-Wei Lin. Tracking and preventing diseases with artificial intelligence, 252 p.
I. Awan, S. Benbernou, M. Younas, M. Aleksy. The international conference on deep learning, big data and blockchain (Deep-BDB 2021).
Anirban Bandyopadhyay, Kanad Ray. Rhythmic advantages in big data and machine learning.
Kulkarni Parag. Choice computing: machine learning and systematic economics for choosing (2022).
