1. 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 com- monalities and differences among their findings and prepare a report to summarize your understanding.
3. Compare artificial and biological neural networks. What aspects of biological networks are not mimicked by arti- ficial ones? What aspects are similar?
4. What are the most common ANN architectures? For what types of problems can they be used?
question 1 is limit to 1-2 pages. questions from 2-5 can be on 2 pages. all 6 question should be in one doc with APA formating.
Answer preview
(Churpek et al., 2016). When comparing this outcome with the first study, Churpek et al. inferred that RF outdid the kNN, where data was more variable and had a lesser effect on size. Despite the differences in their findings, the two research groups revealed that all the machine learning techniques have symmetric elements in the sensitivity and specificity of the logistic models (Khondoker ey al., 2016, & Churpek et al., 2016). Further, their outcomes showed that using machine learning techniques was a more appropriate approach for making predictions than relying on traditional tools.
