Machine Learning  - Final 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_11_MultilayerPerceptrons 
http://webpages.uncc.edu/aatzache/ITCS6156/PowerPoints/ML_11_MultilayerPerceptrons.pptx

DM_04_4.7_Chap4_ANN  
http://webpages.uncc.edu/aatzache/ITCS6156/PowerPoints/DM_04_4.7_Chap4_ANN.pptx

Part 2. - 3 questions from :
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PowerPoint : DM_04_4.9_Chap4_SVM    
http://webpages.uncc.edu/aatzache/ITCS6156/PowerPoints/DM_04_4.9_Chap4_SVM.ppt

Part 3. - 3 questions from :
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PowerPoint: ClusterAnalysis.ppt  - KMeans - slides 1 - 41
http://webpages.uncc.edu/aatzache/ITCS6162/PowerPoints/ClusterAnalysis.ppt

ML_07_Clustering  
http://webpages.uncc.edu/aatzache/ITCS6156/PowerPoints/ML_07_Clustering.pptx

Part 4. - 3 questions from :
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PowerPoint: ClusterAnalysis.ppt  - Hierarchical - slides 42  - 86
http://webpages.uncc.edu/aatzache/ITCS6162/PowerPoints/ClusterAnalysis.ppt


Part 5. - 3 questions from :
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PowerPoint: ML_19_DesignAnalysisOfMachineLearningExperiments
http://webpages.uncc.edu/aatzache/ITCS6156/PowerPoints/ML_19_DesignAnalysisOfMachineLearningExperiments.pptx


Part 6. - 3 questions from :
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PowerPoint:  EvaluationMethods.ppt
http://webpages.uncc.edu/aatzache/ITCS6162/PowerPoints/EvaluationMethods.ppt


Part 7. - 3 questions from :
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PowerPoint:   CloudToolsOverview.ppt
http://webpages.uncc.edu/aatzache/ITCS6190/PowerPoints/Hadoop/CloudToolsOverview.ppt

PowerPoint:  IntroToSpark1.pptx
http://webpages.uncc.edu/aatzache/ITCS6190/PowerPoints/Spark/IntroToSpark1.pptx