Analytics, data science, & artificial intelligence systems

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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