A machine learning approach in coastal ecology and theoretical advancements in kernel based random forests

This PhD thesis is part of a PON scholarship DOT1303154-3 Dottorati PON - Bando 2021 - Cycle 37 (XXXVII) - Action IV.5 - Doctorates on Green topics. In the first part of the thesis, an application is provided of machine learning algorithms in the ecological coastal coasts. In the second part we examine thoroughly and in depth the mathematical properties of some of the machinery used in the first part, providing theoretical improvements of the models.