Learning from Data for Aquatic and Geotechnical Environments

Presents machine learning as an approach to building models that learn from data, and that can be used to complement the modelling practice in aquatic and geotechnical environments. This book provides concepts of learning from data, and identifies segmentation (clustering), classification, regression and control as the learning tasks.