1. Based on the knowledge gathered and learned on neural networks and other data mining techniques. Give examples of the use of each of them and based on your knowledge and or research, how would you differentiate among these techniques?

2. Furthermore, assume that a few years from now you will come across a situation in which neural networks or other data mining techniques could be used to build an interesting application for your organization and you have an intern working with you to do the grant work.

3. How could you possibly decide whether the application to be built is appropriate for a neural network or another data mining model to support organizational needs?  In addition, what specific software guidance can you provide so that your intern is productive for you quickly?

References:(Use Below and outside resources as well)

• Sharda, R., Delen, D., & Turban, E. (2015) Business intelligence and analytics: systems for decision support (10th ed.). Boston: Pearson. Print: ISBN-13: 978-0-13-305090-5
• Sharda, R., Delen, D., & Turban, E. (2020) Analytics, data science, & artificial intelligence: Systems for decision support (11th ed.). Boston: Pearson. Print: ISBN-13: 978-0-13-519201-6.     ATTACHED THIS

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