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1、AnIntroductiontoStatisticalLearningwithApplicationsinRGarethJamesDanielaWittenTrevorHastieRobertTibshiraniFebruary11,2013cJames,Witten,Hastie&Tibshirani••••••••••••••••••••••••••••••Toourparents:AlisonandMichaelJamesChiaraNappiandEdwardWittenValerieandPatrickHastieVeraandSamiTibsh
2、iraniandtoourfamilies:Michael,Daniel,andCatherineAriSamantha,Timothy,andLyndaCharlie,Ryan,Julie,andCherylPrefaceStatisticallearningreferstoasetoftoolsformodelingandunderstandingcomplexdatasets.Itisarecentlydevelopedareainstatistics,andblendswithparalleldevelopmentsincomputerscienc
3、e,andinparticularmachinelearning.Thefieldencompassesmanymethodssuchasthelassoandsparseregression,classificationandregressiontrees,andboostingandsupportvectormachines.Withtheexplosionof“BigData”problemsstatisticallearninghasbe-comeaveryhotfieldinmanyscientificareasaswellasmarketing,fina
4、nceandotherbusinessdisciplines.Peoplewithstatisticallearningskillsareinhighdemand.Oneofthefirstbooksinthisarea—TheElementsofStatisticalLearn-ing(ESL)(Hastie,Tibshirani,andFriedman)—waspublishedin2001,withasecondeditionin2009.ESLhasbecomeapopulartextnotonlyinstatisticsbutalsoinrelat
5、edfields.OneofthereasonsforESL’spopu-larityisitsrelativelyaccessiblestyle.ButESLisintendedforindividualswithadvancedtraininginthemathematicalsciences.AnIntroductiontoStatisticalLearning(ISL)arosefromtheperceivedneedforabroaderandlesstechnicaltreatmentofthesetopics.Inthisnewbook,wec
6、overmanyofthesametopicsasESL,butweconcentratemoreontheapplicationsofthemethodsandlessonthemathematicaldetails.WehavecreatedlabsillustratinghowtoimplementeachofthestatisticallearningmethodsusingthepopularstatisticalsoftwarepackageR.Theselabsprovidethereaderwithvaluablehands-onexper
7、ience.Thisbookisappropriateforadvancedundergraduatesormaster’sstu-dentsinStatisticsorrelatedquantitativefields,orforindividualsinotherdisciplineswhowishtousestatisticallearningtoolstoanalyzetheirdata.Itcanbeusedasatextbookforacoursespanningoneortwosemesters.Wewouldliketothanksevera
8、lreadersforvaluablecommentsonprel
