(You work for a security company that is developing a facial- recognition technology to help reduce shoplifting, organized retail crime, and return fraud. The idea is to incorporate facial recognition into existing security camera systems in stores, malls, airports and sports venues that will identify people on wanted list or previously convicted of criminal offenses (everything from shoplifting to violent crimes). The system then alerts security personnel of their presence, along with advice to observe or to possibly alert authorities. This will serve as a dual purpose of reducing crime- related losses and helping to keep customers and employees safe. The company is also considering incorporating the ability to identify missing persons through the software, such as abducted children or human trafficking victims.

The software will need to be able to learn as it goes, constantly improving its facial recognition performance. What kind of system can detect patterns in large sets of data that will enable this deep learning?)

Question 6

As the system identifies persons of concern, security personnel can help to further fine tune their systems performance by providing feedback through the association of _____ to the results.

A. Decisions.

B. Value.

C. Patterns

D. connections.