Discussion Post
• What is the relationship between Naïve Bayes and Bayesian networks? What is the process of developing a Bayesian networks model?
• What is an artificial neural network and for what types of problems can it be used?
• Compare artificial and biological neural networks. What aspects of biological networks are not mimicked by artificial ones? What aspects are similar?
• What are the most common ANN architectures? For what types of problems can they be used?
• ANN can be used for both supervised and unsupervised learning. Explain how they learn in a supervised mode and in an unsupervised mode
• Go to Google Scholar. 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.
The response should include a reference list. Double-space, using Times New Roman 12 pnt font, one-inch margins, and APA style of writing and citations.