Applications of machine learning in animal behaviour studies

Machine learning (ML) offers a hypothesis-free approach to modelling complex data. We present a review of ML techniques pertinent to the study of animal behaviour. Key ML approaches are illustrated using three different case studies. ML offers a useful addition to the animal behaviourist's analytical toolbox. In many areas of animal behaviour research, improvements in our ability to collect large and detailed data sets are outstripping our ability to analyse them.