Discussion #1: What is an artificial neural network and for what types of problems can it be used? Discussion #2: Compare artificial and biological neural networks. What aspects of biological networks are not mimicked by artificial ones? What aspects are similar? Discussion #3: What is the relationship between Naïve Bayes and Bayesian networks? What is the process of developing a Bayesian networks model? Note: Your response should be 250-300 words for each question. Respond to two postings provided by your classmates. There must be at least one APA formatted reference (and APA in-text citation) to support the thoughts in the post. Do not use direct quotes, rather rephrase the author’s words and continue to use in-text citations.