Workshop on machine learning in optical communication systems

ML is based on an idea that synthetic or real data can be used to train systems in order to enable them to make decisions or predictions on new unknown data. Most ML algorithms deal with two tasks: regression and classification (or clustering). Although ML is not a new field, recent important increases in computational power and access to abundant quantities of data contributed to the advent of novel ML methods applied in several fields.