HIGHLIGHTS
- What: Article history: This study investigates the potential of adaptive machine learning algorithms for processing high-dimensional data across various fields directly supporting the advancement of the United Nations Sustainable Development Goals (SDGs) such as healthcare economic growth and sustainable cities. Through a comprehensive analysis of diverse algorithms including autoencoders deep learning reinforcement learning and ensemble methods this research evaluates their efficacy in managing the complexities of large-scale data. The aim of this paper is to review the current state of adaptive machine_learning algorithms and their role in processing high-dimensional data .
- Who: Efficiency . . .
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