This overview of the artificial intelligence sub-field of machine learning draws together a number of disparate studies, identifying common themes and significant differences. The book takes a strongly practical approach, highlighting the "how to do it" aspects of machine learning. The authors divide the subject into two sections, the first of which offers a general introduction to the concepts and methods of artificial intelligence, with special reference to the development of expert systems and the second of which deals with detailed case studies of learning experiments.
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