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Learning

like intelligence covers such a broad range of processes that it is dicult to dene precisely A dictionary denition includes phrases such asto gain knowledge or understanding of or skill in by study instructionor experience and modication of a behavioral tendency by experienceZoologists and psychologists study learning in animals and humans Inthis book we focus on learning in machines There are several parallelsbetween animal and machine learning Certainly many techniques in ma     chine learning derive from the eorts of psychologists to make moreprecisetheir theories of animal and human learning through computational mod    
els It seems likely also that the concepts and techniques being explored byresearchers in machine learning may illuminate certain aspects of biological
learning
As regards machines we might say very broadly that a machine learnswhenever it changes its structure program or data based on its inputsor inresponse to external information in such a manner that its expectedfuture performance improves Some of these changes such as the additionof a record to a data base fall comfortably within the province of other dis    ciplines and are not necessarily better understood for being called learningBut for example when the performance of a speec    recognition machineimproves after hearing several samples of a persons speech we feel quitejustied in that case to say that the machine has learn


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