The answer is C. Central processing unit (or CPU).
The trick is in the name, central processing unit :)
Answer:
Training data is used to fine-tune the algorithm’s parameters and evaluate how good the model is
Explanation:
The statement about datasets used in Machine Learning that is NOT true is "Training data is used to fine-tune algorithm’s parameters and evaluate how good the model is."
This is based on the fact that a Training dataset is a process in which a dataset model is trained for corresponding it essentially to fit the parameters.
Also, Testing the dataset is a process of examining the performance of the dataset. This refers to hidden data for which predictions are determined.
And Validation of dataset is a process in which results are verified to perfect the algorithm's details or parameters
Answer:
Hey mate......
Explanation:
The smallest unit of storage is Bytes......
hope it helps you,
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follow me..........
Answer: D.) All of the above. (happy to help)
Explanation: A.)
problem solving
B.)
expertise
C.)
content
D.)
all of the above
Answer:
The program in Python is as follows:
num = int(input())
for i in str(num):
print(int(i))
Explanation:
This gets input for the number
num = int(input())
This converts the number to string and iterates through each element of the string
for i in str(num):
This prints individual digits
print(int(i))
