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 : ------------------------------------ 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 : ------------------------------------ PowerPoint : ML_06_DimensionalityReduction http://webpages.uncc.edu/aatzache/ITCS6156/PowerPoints/ML_06_DimensionalityReduction.pptx Part 3. - 3 questions from : -------------------------------------- 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 : ------------------------------------ PowerPoint: DM_04_Chap4_NaiveBayes.ppt http://webpages.uncc.edu/aatzache/ITCS6156/PowerPoints/DM_04_Chap4_Naive_Bayes.ppt Part 5. - 3 questions from : --------------------------------------- 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 : ------- 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 : ------------------------------------- DM_04_Chap4_KNN.ppt http://webpages.uncc.edu/aatzache/ITCS6156/PowerPoints/DM_04_Chap4_KNN.pptx