Answer:
A business invitee
Explanation:
A business invitee is any person or group of people who enters another person's commercial property to do business. A business invitee's purpose is to engage in a commercial transaction with property or landowner. The landowner is liable to any injuries or harm suffered by a business invitee due to dangerous conditions on the property.
Commercial property or premises refers to land or building designated for business transactions such as a retail store or a restaurant. In law, customers are business invitees. The assumption is that customers enter commercial premises to do business with the business owner.
Either A or C would be right, because it couldn't be a decrease of the equity.
Answer:
The answer is: Yes, an exchange was made.
Explanation:
In marketing, an exchange happens every time two or more entities (people. organizations or businesses) trade products or services. Each trade should result in a utility created for each party involved. In other words, what you get in exchange is worth more (at least for you) than what you give.
In Amanda's case, an exchange is made because she donated blood and received a feeling of satisfaction and happiness in exchange.
Answer:
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
