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Big data and machine learning and the impact on education

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Panagiotis Leliopoulos 1, Sotiris Stavridis 2 and Athanasios Drigas 1, *

1 Net Media Lab IIT NCSR Demokritos, Athens, Greece.
2 Aristotelian University of Thessaloniki, Thessaloniki, Greece.

Review Article
 

World Journal of Advanced Research and Reviews, 2023, 18(03), 670–683
Article DOI: 10.30574/wjarr.2023.18.3.1054
DOI url: https://doi.org/10.30574/wjarr.2023.18.3.1054

Received on 24 April 2023; revised on 11 June 2023; accepted on 21 June 2023

In this paper we mention deep learning. Deep learning can be used to improve computing service provider revenue in the mobile blockchain network or to use a machine to study standard mobile detection tasks (e.g., activity recognition). Using deep neural networks can compare results with learning techniques in more common use. Also, we see the deep learning for massive amounts of data and deep learning for a wide variety of data and high-velocity data. Beyond all applications Big Data and Machine learning can be used to improve education, and its practices and procedures.

Big Data; Machine Learning; Mobiles; AI; Robots; Education

https://wjarr.co.in/sites/default/files/fulltext_pdf/WJARR-2023-1054.pdf

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Panagiotis Leliopoulos, Sotiris Stavridis and Athanasios Drigas. Big data and machine learning and the impact on education. World Journal of Advanced Research and Reviews, 2023, 18(03), 670–683. Article DOI: https://doi.org/10.30574/wjarr.2023.18.3.1054

Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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