Answer:
b. make sure the program solves the original problem
Explanation:
This is important so as to avoid logical errors. Logical errors unlike compiler or run time errors will not stop your code from compilling and executing but after your program compiles and runs, but does the wrong thing by given you unexpected results
This is the reason why validation of results after your code is completed is important in this way you are sure the program solves the original problem.
Answer:
:p
Explanation:
Should be in wireless network settings.
or
If you have a home wifi or network, lock into that (via connecting and clicking connect automatically or clicking stay connected- depending on the network band and type as well as your computer model and make)
Hope this helps :P
Have a nice day (or night)
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:
general regulatory and speed control.
