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