Business Intelligence week 3

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Fall 2020 - Business Intelligence (ITS-531-A05) - First Bi-Term

Graded Discussion: Neural Networks

Fall 2020 - Business Intelligence (ITS-531-A05) - First Bi-Term Content Week 3: 09/07/2020 – 09/13/2020

Graded Discussion: Neural Networks

W3: Discussion (Click Here To Post)

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 Important Note:  All students are welcome to use outside research in aspects of neural networks.

W3: Discussion – Neural Networks

Carefully review and use either of the book options below as a reference for neural networks.

After reading and analyzing content from book references and or from outside research, address the real-life case below:

Based on 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?

Furthermore, assume that a few years from now you will come across a situation in which neural network 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.

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?

Your answer for this question might mention the specific software, describe how to go about setting up the model/neural network, and validate the application.

Discussion Expectations

Please make sure to proofread your post prior to submission. They should be well written and free of grammatical or typographical errors.

Initial postings are due by Wednesday. You are encouraged to post your follow-up comments to different students, and you can do more than two if you want and these peer replies are due by Saturday. Postings should include scholarly detail with research support

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