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Machine Learning is in the enviable yet difficult position of being the first published collection of papers on the subject. By "machine learning" the editors refer to three distinct areas: the engineering of computer systems to learn in particular application areas, the theoretical analysis of learning algorithms, and the simulation of human learning processes. However, there is very little material on the third topic, and almost no mention of neurological models or biological theories of adaptation. The word "machine" is as important as "learning."

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Reviews of Machine Learning by Ryszard S. Michalski, Jaime G. Carbonell, and Tom M. Mitchell, Tioga publishing company, 1983, ISBN 0-935382-05-4.

Norvig, Peter
ACM SIGART Bulletin , Volume (90)
Association for Computing MachineryOct 1, 1984

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