Role of machine learning in improving tourism and education sector
Issued Date
2022-01-01
Resource Type
eISSN
22147853
Scopus ID
2-s2.0-85127460210
Journal Title
Materials Today: Proceedings
Volume
51
Start Page
2457
End Page
2461
Rights Holder(s)
SCOPUS
Bibliographic Citation
Materials Today: Proceedings Vol.51 (2022) , 2457-2461
Suggested Citation
Bangare M.L., Bangare P.M., Ramirez-Asis E., Jamanca-Anaya R., Phoemchalard C., Bhat D.A.R. Role of machine learning in improving tourism and education sector. Materials Today: Proceedings Vol.51 (2022) , 2457-2461. 2461. doi:10.1016/j.matpr.2021.11.615 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/85104
Title
Role of machine learning in improving tourism and education sector
Other Contributor(s)
Abstract
Tourism is viewed as a major economy booster. Although tourism has a beneficial influence on the economy in terms of national income generation, job creation, tax revenue generation and foreign exchange generation, it is a multi-segment sector. As a primary goal of higher education institutions, improving student performance is a top priority. Before a performance improvement program can be designed, it is necessary to map the students' current situation. Traditional computer techniques in the IT industry differ from machine learning. To describe or solve a problem, computers utilize a set of well-written instructions. Data inputs for factual research can be prepared using master learning approaches by computers. We'll look at how machine learning can be used in the tourist and education sectors.