[Machine.Learning.in.Action(2012.3)].Peter.Harrington.文字版

[Machine.Learning.in.Action(2012.3)].Peter.Harrington.文字版

ID:32328205

大小:8.51 MB

页数:382页

时间:2019-02-03

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1、INACTIONPeterHarringtonMANNINGMachineLearninginActionMachineLearninginActionPETERHARRINGTONMANNINGShelterIslandForonlineinformationandorderingofthisandotherManningbooks,pleasevisitwww.manning.com.Thepublisheroffersdiscountsonthisbookwhenorderedinquantity.Formor

2、einformation,pleasecontactSpecialSalesDepartmentManningPublicationsCo.20BaldwinRoadPOBox261ShelterIsland,NY11964Email:orders@manning.com©2012byManningPublicationsCo.Allrightsreserved.Nopartofthispublicationmaybereproduced,storedinaretrievalsystem,ortransmitted,

3、inanyformorbymeanselectronic,mechanical,photocopying,orotherwise,withoutpriorwrittenpermissionofthepublisher.Manyofthedesignationsusedbymanufacturersandsellerstodistinguishtheirproductsareclaimedastrademarks.Wherethosedesignationsappearinthebook,andManningPubli

4、cationswasawareofatrademarkclaim,thedesignationshavebeenprintedininitialcapsorallcaps.Recognizingtheimportanceofpreservingwhathasbeenwritten,itisManning’spolicytohavethebookswepublishprintedonacid-freepaper,andweexertourbesteffortstothatend.Recognizingalsoourre

5、sponsibilitytoconservetheresourcesofourplanet,Manningbooksareprintedonpaperthatisatleast15percentrecycledandprocessedwithouttheuseofelementalchlorine.ManningPublicationsCo.Developmenteditor:JeffBleiel20BaldwinRoadTechnicalproofreaders:TriciaHoffman,AlexOttPOBox

6、261Copyeditor:LindaRecktenwaldShelterIsland,NY11964Proofreader:MaureenSpencerTypesetter:GordanSalinovicCoverdesigner:MarijaTudorISBN9781617290183PrintedintheUnitedStatesofAmerica12345678910–MAL–171615141312ToJosephandMilobriefcontentsPART1CLASSIFICATION........

7、.......................................................11■Machinelearningbasics32■Classifyingwithk-NearestNeighbors183■Splittingdatasetsonefeatureatatime:decisiontrees374■Classifyingwithprobabilitytheory:naïveBayes615■Logisticregression836■Supportvectormachines

8、1017■ImprovingclassificationwiththeAdaBoostmeta-algorithm129PART2FORECASTINGNUMERICVALUESWITHREGRESSION..............1518■Predictingnumericvalues:regression1539■Tree-basedre

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