Discussion And Paper

Part 1

Create a discussion thread (with your name) and answer the following question:

Discussion (Chapter 5): What is the relationship between Naïve Bayes and Bayesian networks? What is the process of developing a Bayesian networks model?

Part 2.

Responses to 2 student replies each 100 words

Part 3

Chapter 5 –discussion question #1-4 & exercise 6 & internet exercise #7 (go to  neuroshell.com click on the examples and look at the current examples listed, the Gee Whiz example is no longer on the page).

What is an artificial neural network and for what types of problems can it be used?

2. Compare artificial and biological neural networks. What aspects of biological networks are not mimicked by artificial ones? What aspects are similar?

3. What are the most common ANN architectures? For what types of problems can they be used?

4. ANN can be used for both supervised and unsupervised learning. Explain how they learn in a supervised mode and in an unsupervised mode.

6.Go to Google Scholar (scholar.google.com). Conduct a search to find two papers written in the last five years that compare and contrast multiple machine-learning methods for a given problem domain. Observe commonalities and differences among their findings and prepare a report to summarize your understanding.

7.go to  neuroshell.com click on the examples and look at the current examples listed, the Gee Whiz example is no longer on the page

When submitting work, be sure to include an APA cover page and include at least two APA formatted references (and APA in-text citations)