| dc.description.abstract | The machine learning (ML) paradigm has gained much popularity today. Its algorithmic models are employed in every feld,
such as natural language processing, pattern recognition, object detection, image recognition, earth observation and many
other research areas. In fact, machine learning technologies and their inevitable impact sufce in many technological transformation agendas currently being propagated by many nations, for which the already yielded benefts are outstanding. From
a regional perspective, several studies have shown that machine learning technology can help address some of Africa’s most
pervasive problems, such as poverty alleviation, improving education, delivering quality healthcare services, and addressing
sustainability challenges like food security and climate change. In this state-of-the-art paper, a critical bibliometric analysis study is conducted, coupled with an extensive literature survey on recent developments and associated applications in
machine learning research with a perspective on Africa. The presented bibliometric analysis study consists of 2761 machine
learning-related documents, of which 89% were articles with at least 482 citations published in 903 journals during the past
three decades. Furthermore, the collated documents were retrieved from the Science Citation Index EXPANDED, comprising research publications from 54 African countries between 1993 and 2021. The bibliometric study shows the visualization
of the current landscape and future trends in machine learning research and its application to facilitate future collaborative
research and knowledge exchange among authors from diferent research institutions scattered across the African continent. | en_US |
