The work scrutinises the predictive prowess of ensemble machine learning models, namely Random Forest, Gradient …

) algorithms as classification methods in machine learning. Findings - the analysis results show that all agorithms has high …

platform using web scraping, natural language processing, and machine learning techniques, including Latent Dirichlet … underrepresentation of advanced technological competencies, such as machine learning, data analytics, and automation, which are …

pandemics and wars. This study investigates the utilization of artificial intelligence and machine learning methodologies to … discussed in this study. Machine learning and artificial intelligence can process vast amounts of data quickly to provide real … transportation routes. Machine learning and artificial intelligence in supply chain management have reduced demand forecasting errors …