Wisc-Online Learning Objects

Machine learning algorithms can forecast these factors, enabling construction companies to proactively prepare for potential cost drivers. Commonly used algorithms for cost prediction in construction include artificial neural networks, decision trees, logistic regression, support vector machines, clustering, and data mining. This aggregated data provides a solid foundation from which machine learning algorithms can derive accurate cost predictions. Cost prediction is a crucial aspect, and machine learning in Construction offers potential to enhance the accuracy of these predictions. By analyzing [...]