Analytics, Data Science, & Artificial Intelligence Systems

can you answer the below question 

1. What is an artificial neural network and for what types

of problems can it be used?---------page 308

2. Compare artificial and biological neural networks. What

aspects of biological networks are not mimicked by artificial

ones? What aspects are similar?---------page 308

3. What are the most common ANN architectures? For

what types of problems can they be used?---------page 308

4. ANN can be used for both supervised and unsupervised

learning. Explain how they learn---------page 308

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.----page 312

7. Go to neuroshell.com. Look at Gee Whiz examples.

Comment on the feasibility of achieving the results

claimed by the developers of this neural network model.----page 312