Big data and machine learning and the impact on education

  • Panagiotis Leliopoulos
  • Sotiris Stavridis
  • Athanasios Drigas
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Abstract

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.

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Panagiotis Leliopoulos, Sotiris Stavridis, & Athanasios Drigas. (2023). Big data and machine learning and the impact on education. World Journal of Advanced Research and Reviews, 18(3), 670–683. https://doi.org/10.30574/wjarr.2023.18.3.1054

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