hi there
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<em><u>it c the ribbon tab. just want to help .</u></em>
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hope this helps. if you want please mark brainlyist. enjoy
My name is Trisha Davis, I am a first year medical student and i love to read and write books. I hate lies and i love anyone who is honest.
<h3>What is self introduction?</h3>
My name is Trisha Davis, I am a first year medical student and i love to read and write books. I hate lies and i love anyone who is honest.
My goal in life is to be a medical doctor and also an entrepreneur. I love to help others and put smile on people's face. What i want from life is good health, favor and avenue to showcase my gifts to the world.
Learn more about self introduction from
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Answer:
see explaination
Explanation:
import random
def number_guess(num):
n = random.randint(1, 100)
if num < n:
print(num, "is too low. Random number was " + str(n) + ".")
elif num > n:
print(num, "is too high. Random number was " + str(n) + ".")
else:
print(num, "is correct!")
if __name__ == '__main__':
# Use the seed 900 to get the same pseudo random numbers every time
random.seed(900)
# Convert the string tokens into integers
user_input = input()
tokens = user_input.split()
for token in tokens:
num = int(token)
number_guess(num)
Answer:
Explanation:
This is unsolvable if you have no variable substitutes
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.
