Machine Learning  - Midterm Exam - Preparing

- The Exam is Open Book / Open Notes

- The Exam is taken on Canvas 

- There are 3 hours allowed for the Exam

- There are 21 Multiple Choice Questions on the Exam

- Questions come from the following subjects :

Part 1. - 3 questions from :
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PowerPoint: ML_01_Introduction.ppt   
http://webpages.uncc.edu/aatzache/ITCS6156/PowerPoints/ML_01_Introduction.pptx

PowerPoint: chapter2_Data.ppt
http://webpages.uncc.edu/aatzache/ITCS6162/PowerPoints/chapter2_Data.ppt

Part 2. - 3 questions from :
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PowerPoint : ML_06_DimensionalityReduction
http://webpages.uncc.edu/aatzache/ITCS6156/PowerPoints/ML_06_DimensionalityReduction.pptx

Part 3. - 3 questions from :
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PowerPoint: ML_02_SupervisedLearning.ppt
http://webpages.uncc.edu/aatzache/ITCS6156/PowerPoints/ML_02_SupervisedLearning.pptx

PowerPoints :  ML_03_BayesianDecisionTheory.ppt
http://webpages.uncc.edu/aatzache/ITCS6156/PowerPoints/ML_03_BayesianDecisionTheory.pptx

Part 4. - 3 questions from :
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PowerPoint: DM_04_Chap4_NaiveBayes.ppt 
http://webpages.uncc.edu/aatzache/ITCS6156/PowerPoints/DM_04_Chap4_Naive_Bayes.ppt

Part 5. - 3 questions from :
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PowerPoint: DM_4.6.1_LinearRegression.ppt
http://webpages.uncc.edu/aatzache/ITCS6156/PowerPoints/DM_4.6.1_LinearRegression.pptx

PowerPoint :  4.6 Logistic Regression
http://webpages.uncc.edu/aatzache/ITCS6156/PowerPoints/DM_4.6.2_LogisticRegression.ppt

Part 6. - 3 questions from :
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PowerPoint:  ML_09_DecisionTrees.ppt 
http://webpages.uncc.edu/aatzache/ITCS6156/PowerPoints/ML_09_DecisionTrees.pptx

PowerPoint:  DecisionTrees_ID3.ppt
http://webpages.uncc.edu/aatzache/ITCS6162/PowerPoints/DecisionTrees_ID3.ppt

Part 7. - 3 questions from :
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DM_04_Chap4_KNN.ppt 
http://webpages.uncc.edu/aatzache/ITCS6156/PowerPoints/DM_04_Chap4_KNN.pptx