It's Microsoft office power point presentation.
Answer:
Troubleshooting
Explanation:
These actions are called troubleshooting.
Troubleshooting is used to diagnose the unexpected error while you are performing some action on the computer. For example
You are running skype, and a one-day mic or sound performing unexpected error. What will you do? You have to perform the troubleshooting for MIC and sound to diagnose the problem.
During troubleshooting, you will wizard through steps of the procedure to diagnose the problem step by step. If the problem will be identified, the solution will be suggested.
You may experience sometimes your Wifi router at home not working. For this to identify the unexpected error you will perform the troubleshooting.
In short, troubleshooting is used to diagnose unexpected error while performing some action on the computer. If troubleshooting does not work, then close all the programs running on your machine, then shut down your computer. Wait a couple of minutes, and then start your computer and see, the problem may have been alleviated.
Explanation:
not A or D,
about B and C I'm not sure
Answer:
Please check the attachment.
Explanation:
Please check the attachment for the program in python.
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.
