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:
Copying anything may be the computer program or an entertainment file, it is not a good thing as the original developers or the writers are going to feel bad since their hard work is being used by others without letting them know. However, if you are using it for academic purposes, or give them credit in your work, then the original writer will not feel that bad as he is being credited, and hence you can reuse in that case definitely, but always ensure to give the credit to the original writer.
As an example, if a film is copied like many in the past the Directors always feel bad, and they have the reason for feeling bad. The same thing is to technology.
Explanation:
The answer is self explanatory.
OPTION A would be the answer
