Abstract
Owing to the exponential expansion in the data size, fast and efficient systems of analysis areextremely needed. The traditional algorithms of machine learning face the challenge of learning bottlenecks suchas; human participation, time, and the accuracy of prediction. But, the efficient and fast methods of dynamiclearning offer considerable advantages like lower human participation, rapid algorithms of learning, and easinessimplementation. This review paper presents the researches with a brief display for recently existing works in big dataanalytics and the effective algorithms of machine learning, furthermore, the issues of resources allocation in big data
Recommended Citation
Ali, Ahmed Hussein; Abdullah, Mahmood Zaki; Abdul-wahab, Shams N.; and sajri, Mohammad Al
(2024)
"A Brief Review of Big Data Analytics Based on Machine Learning,"
Iraqi Journal for Computer Science and Mathematics: Vol. 1:
Iss.
2, Article 1.
DOI: https://doi.org/10.52866/ijcsm.2020.01.02.002
Available at:
https://ijcsm.researchcommons.org/ijcsm/vol1/iss2/1
