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1、MachineLearningTomM.MitchellProductDetails•Hardcover:432pages;Dimensions(ininches):0.75x10.00x6.50•Publisher:McGraw-HillScience/Engineering/Math;(March1,1997)•ISBN:0070428077•AverageCustomerReview:Basedon16reviews.•Amazon.comSalesRank:42,816•Popularin:
2、Redmond,WA(#17),Ithaca,NY(#9)EditorialReviewsFromBookNews,Inc.Anintroductorytextonprimaryapproachestomachinelearningandthestudyofcomputeralgorithmsthatimproveautomaticallythroughexperience.Introducebasicsconceptsfromstatistics,artificialintelligence,in
3、formationtheory,andotherdisciplinesasneedarises,withbalancedcoverageoftheoryandpractice,andpresentsmajoralgorithmswithillustrationsoftheiruse.Includeschapterexercises.OnlinedatasetsandimplementationsofseveralalgorithmsareavailableonaWebsite.Nopriorback
4、groundinartificialintelligenceorstatisticsisassumed.Foradvancedundergraduatesandgraduatestudentsincomputerscience,engineering,statistics,andsocialsciences,aswellassoftwareprofessionals.BookNews,Inc.®,Portland,ORBookInfo:Presentsthekeyalgorithmsandtheor
5、ythatformthecoreofmachinelearning.DiscussessuchtheoreticalissuesasHowdoeslearningperformancevarywiththenumberoftrainingexamplespresented?andWhichlearningalgorithmsaremostappropriateforvarioustypesoflearningtasks?DLC:Computeralgorithms.BookDescription:T
6、hisbookcoversthefieldofmachinelearning,whichisthestudyofalgorithmsthatallowcomputerprogramstoautomaticallyimprovethroughexperience.ThebookisintendedtosupportupperlevelundergraduateandintroductorylevelgraduatecoursesinmachinelearningPREFACEThefieldofmac
7、hinelearningisconcernedwiththequestionofhowtoconstructcomputerprogramsthatautomaticallyimprovewithexperience.Inrecentyearsmanysuccessfulmachinelearningapplicationshavebeendeveloped,rangingfromdata-miningprogramsthatlearntodetectfraudulentcreditcardtran
8、sactions,toinformation-filteringsystemsthatlearnusers'readingpreferences,toautonomousvehiclesthatlearntodriveonpublichighways.Atthesametime,therehavebeenimportantadvancesinthetheoryandalgorithmsthatformthefoundationsofthisfield.Thegoalo