Answer:
Theoretically Yes
Explanation:
The data given is linearly separable. So, the subset of the data will also be linearly separable. And it will pass for all training dataset. However, you should definitely never expect such thing In any real-life problem because the data is noisy, for a bazilion of reasons, so no model is guaranteed to perform perfectly.
I would save memories in my opinion thats the most important thing.
Answer:
Output explanation to the given code can be defined as follows:
Explanation:
In A the output is 0
, It will return fork value of the child process that is 0. so, 0 is printed during child process.
In B the output is 2650
, in which the getpid() method returns the child process id value that is 2650.
In C the output is 140, As it is declared in key, all process have their own "value" copies. 20 are inserted during childhood, so 140 are written.
In D the output is 2650, its fork() method returns the child ID to the parent process. so the value 2650 is printed.
In E the output is 2600, Its getpid() method will returns parent process id that is equal to 2600.
In F the output is 120 Since the value is declared in primary, all process so their own "value" copies. 120 will be printed during process.
Answer:
Scaling changes the size of the whole image by resampling it(duplicating the pixels). in cropping you only get a part of the original image/ remove the outer area of it .
Explanation:
Answer:
d. A String is a class data type so a String variable holds a reference to a location in memory
It depends on which programing language or scripting language...
Explanation:
If it's Java then D is the correct answer...
