Machine learning designates the statistical methods that learn to perform a task (classify elements, predict values, etc.) by inferring properties and patterns from a set of known data (training set) and then can perform the same task to provide predictions on a new set of data (test set). These methods have the potential to considerably accelerate the processing of the massive amount of data collected in marine science, particularly for the fisheries science process.
The objectives WGMLEARN are to:
If you are interested in this working group, contact ICES Secretariat.