Greetings,

As it is known, the learning machine (ML) models based on supervised learning approach are buit by presenting a training dataset to ML algorithms during the learning phase. However, as the envrironments are evolving constantly, therefore, we need to update those models of prediction, classification...etc built by machine learning techniques. The question is what are the techniques to update those models in order to reflect the evolution of the environments ?

best regards