Learning From Data Streams: Foundations of Stream Learning
Zoe Sanchez
In most machine learning scenarios, we start from the same premise: We have a dataset – say, a table of images and their labels – and we can look at it as often as we want. We can shuffle it, split it, normalize it, train a model, evaluate it, retrain it… all at leisure. This is what we mi