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Exercise3

Course: CC 282, Fall 2009
School: East Los Angeles College
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Dr.R.Palaniappan CC282IntroductiontoMachineLearningAutumn2008 DepartmentofComputingandElectronicSystems UniversityofEssex Exerciseset3 ThissetcoversmaterialfromLecture3 _________________________________________________________________________________________ Question1 Inamachinelearningcontext,whatdowemeanby statisticallearning regressionmethod classification Question2...

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Dr.R.Palaniappan CC282IntroductiontoMachineLearningAutumn2008 DepartmentofComputingandElectronicSystems UniversityofEssex Exerciseset3 ThissetcoversmaterialfromLecture3 _________________________________________________________________________________________ Question1 Inamachinelearningcontext,whatdowemeanby statisticallearning regressionmethod classification Question2 Thefollowingdatashowsthemarketresearchofthenumberofproductssoldversusthecostofadvertisementinthepast year. Advertcost(in) Noofsales 3 2 0 5 4 0 7 8 2 9 7 5 1 1 8 2 13 10 3 15 126 1.FindthelinearregressionmodelthatbestfitsthedataintheLSEsense(hint:usethemodelstudiedinlecturewithk=1 andintercept,w00). 2.Usethemodeltopredicttheno.salesfortheproductifadvertcostis17 Question3 3.EstimatetheMSEofthemodel. ThefollowingCartesiancoordinatesforthreedifferentclasses,A,B,andCaregiven. ClassA A1 (2,12 ) A2 (3,8) A3 A4 (4,9) (7,10 ) ClassB B (6,5 1 ) B (8,1 2 ) B (7,7 3 ) ClassC C1 (1,5) C2 C3 C4 C5 (i) (1,3) (5,1) (7,8) (9,3) ComputetheManhattandistancesofpointX(6,6)tothefourinstancesofclassA,threeinstancesofclass ...

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R1a, b, c, da -> bb -> cc -> d
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