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lukranit [14]
2 years ago
8

How many of you got the right answer from this app​

Computers and Technology
1 answer:
Flura [38]2 years ago
8 0
Actually, a lot, and it’s especially helpful when the answer is expert verified
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When you gather primary or secondary data, what part of the market information management process are you participating in?
Umnica [9.8K]

Answer:

Heyyyooo!

The answer is market research.

Hope this helps!

Explanation:

Market research is the way toward gathering, analyzing and interpreting data about a market, about an item or administration to be offered available to be purchased in that advertise, and about the past, present and potential clients for the item or administration; examination into the attributes, ways of managing money, area and necessities of your business' objective market, the industry all in all, and the specific contenders you confront.  

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3 years ago
Which of the following represents knowledge as a set ofâ rules? A. Neural networks.B. Machine learning systems.C. Robotics.D. Ex
sveta [45]

Answer:

D. Expert systems

Explanation:

Artificial intelligence (AI) also known as machine learning can be defined as a branch of computer science which typically involves the process of using algorithms to build a smart computer-controlled robot or machine that is capable of performing tasks that are exclusively designed to be performed by humans or with human intelligence.

Artificial intelligence (AI) provides smarter results and performs related tasks excellently when compared with applications that are built using conventional programming.

Generally, there are two (2) main characteristics of artificial intelligence (AI) systems and these include;

I. Non-algorithmic processing.

II. Symbolic processing.

In artificial intelligence (AI), the field of expert systems is the most important applied area because it models human knowledge.

Hence, expert systems represents knowledge as a set of rules.

Although, all expert systems are generally lacking in human capabilities and can only use inference procedures to proffer solutions to specific problems that would normally require human expertise or competence.

Some of the areas where expert systems can be applied are; monitoring, diagnosis, scheduling, classification, design, process control, planning, etc.

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