Could anyone explain to me the differences & similarities between machine learning and system identifications? Are these just two names of the same thing? In this page, they say:
Machine learning and system identification communities are faced with similar problems where one needs to construct a model from limited or noisy observations.
I've also read the early chapters of the famous book Pattern Recognition and Machine Learning by Christopher M. Bishop. So far, my conclusion is that the problem that system identification is trying to solve is a subset of what machine learning is trying to solve.
