1. Briefly describe five techniques (or algorithms) that are used for classification modeling.
2. How spreadsheets can be used for analytical modeling and solution?
3. How can we use what-if analysis?
4. How learning happens in ANN?
5. What is the so-called “black-box” syndrome?
7. How does sensitivity analysis work?
8. Compared to ANN, what are the advantages of SVM?
9. What are the common applications of ANN?
10. What are the critical success factors for a kNN implementation?
11. What are the reasons for the recent emergence of visual analytics?