Assuming that data mining techniques are to be used in the following cases, identify whether the task required is supervised or unsupervised learning. a. Deciding whether to issue a loan to an applicant based on demographic and financial data (with reference to a database of similar data on prior customers). b. In an online bookstore, making recommendations to customers concerning additional items to buy based on the buying patterns in prior transactions. c. Identifying a network data packet as dangerous (virus, hacker attack) based on comparison to other packets whose threat status is known. d. Identifying segments of similar customers. e. Predicting whether a company will go bankrupt based on comparing its financial data to those of similar bankrupt and nonbankrupt firms. f. Estimating the repair time required for an aircraft based on a trouble ticket. g. Automated sorting of mail by zip code scanning. h. Printing of custom discount coupons at the conclusion of a grocery store checkout based on what you just bought and what others have bought previously

Explanation:

A Supervised learning allows you to collect data or produce a data output from the previous experience while an unsupervised learning  you do not need to supervise the model.

A.  Deciding whether to issue a loan to an applicant based on demographic and financial data (with reference to a database of similar data on prior customers). - Supervised learning

B.  In an online bookstore, making recommendations to customers concerning additional items to buy based on the buying patterns in prior transactions. - Unsupervised learning

c. Identifying a network data packet as dangerous (virus, hacker attack) based on comparison to other packets whose threat status is known - Supervised learning  

d. Identifying segments of similar customers. - Unsupervised learning

e. Predicting whether a company will go bankrupt based on comparing its financial data to those of similar bankrupt and nonbankrupt firms. - Supervised learning

f. Estimating the repair time required for an aircraft based on a trouble ticket. - supervised learning

g. Automated sorting of mail by zip code scanning. - Supervised learning

H. Printing of custom discount coupons at the conclusion of a grocery store checkout based on what you just bought and what others have bought previously - Unsupervised learning

answer; according to the ( irs );

it's actually a very difficult task, due to not many people can make 2 million dollars in 2 years. besides that, to the not-so-realistic ideas, you can create a business. it could be practically anything, but make it into a business that isn't that known yet, you get me? also, lets not forget about stock market. that's where all the good stuff happens. use investments at the beginning and begin to raise up your business or whatever you're going to do. as this is a very non-realistic idea, it's still worth the shot!