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Applied Machine Learning: New Methods, Applications, and Achievements.

Authors :
Dudek, Grzegorz
Source :
Applied Sciences (2076-3417); Oct2023, Vol. 13 Issue 19, p10845, 6p
Publication Year :
2023

Abstract

The realm of machine learning (ML) is one of the most dynamic and compelling domains within the computing landscape today. ML's comprehensive spectrum of techniques embraces traditional algorithms such as linear regression, k-nearest neighbors, decision trees, support vector machines, and neural networks, while also incorporating cutting-edge innovations such as deep learning and boosted tree models. The conclusion of this study highlights the achievement of predicting the clinical evolution of COVID-19 patients using optimized ML models. [Extracted from the article]

Details

Language :
English
ISSN :
20763417
Volume :
13
Issue :
19
Database :
Complementary Index
Journal :
Applied Sciences (2076-3417)
Publication Type :
Academic Journal
Accession number :
172984907
Full Text :
https://doi.org/10.3390/app131910845