The main problem of the machine learning is to find a scientific regularity in experimental observations.
Many methods may be served - from baseless guesses to an accurate investigation of models - to create a possible scientific interpretation.
This approach consider on searching for underlying laws. Laws can be evoked from the massive data sets (genetics, robot sensors, social networks, adverisement) available now (so called the Big Data).
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