10机器学习_课程教案

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1、MachineLearningCoursePlanLectureOneTitle:IntroductionContent:lBasicinformationaboutthiscourse:books,TA,office,homework,projectandtestform…lIntroducethedefinitionoflearningsystems.lGiveanoverviewofapplicationstoshowthegoalsofmachinelearning.lIntroducetheaspectsofde

2、velopingalearningsystem:trainingdata,conceptrepresentation,functionapproximation.Targets:lUnderstandthebackgroundofmachinelearning;lRememberthebasicfunctionofmachinelearning;lGetthegeneralideasofmachinelearning’sproblemandpoint;Processions:lWhatisMachineLearning?l

3、ApplicationsofMLlDisciplinesrelevanttoMLlWell-PosedLearningProblemslDesigningaLearningSystemlPerspectivesandIssuesInMachineLearninglHowToReadThisBookDifficulties:lHowtodesignalearningsystem;lTheunderstandofconcept.LectureTwoTitle:ConceptLearningandtheGeneral-to-Sp

4、ecificOrderingContents:lWhatistheconceptlearningtask?Whereisitappliedto?lMakestudentsunderstandconceptlearningisequivalenttosearchthroughahypothesisspace.lIllustratestepbysteptheprocedureofgeneral-to-specificorderingofhypotheses,tofindthemaximallyspecifichypothese

5、sTargets:lUnderstandthebackgroundofconceptlearning;lRememberthebasicconceptofconceptlearning,versionspace,etc;Processions:lIntroductionlAConceptLearningTasklConceptLearningasSearchlFind-S：FindingaMaximallySpecificHypothesisDifficulties:lWhat’stheprocessofconceptle

6、arning;lRemembertheconceptofconceptlearning;LectureThreeTitle:CandidateeliminationandInductivebiasContents:lIntroducethedefinitionofversionspacesandthecandidateeliminationalgorithm.lHowtolearningconjunctiveconcepts?lIntroduceandemphasizetheimportanceofinductivebia

7、s.Targets:lRemembertheprocessofcandidateeliminationalgorithm;lGetthebasicideaoftheuselessofunbiasedlearning;Processions:lVersionSpacesandtheCandidate-EliminationAlgorithmlRemarksOnVSandC-ElInductiveBiasDifficulties:lTheunderstandofversionspace;lTheideaofbias;lTheu

8、nderstandofFind-SAlgorithmandCandidate-EliminationAlgorithm;Assignments:lEX.2.1lEX.2.4LectrueFourTitle:DecisionTreeLearning(1)Contents:lDevelopmentofDec