In the NumPy function, the data preparation technique that is used to help machine learning algorithms is called the reshape technique or function
For better understanding, let us explain what the reshape function means
- The numpy package helps to give the right tools for scientific and mathematical computations in python
. it includes functions that cam be used to perform common linear algebra operations, fast Fourier transforms, and statistics
The reshape function simply alter or change the row and column arrangement of data in numpy function and it is said to just give new shape to an array without the altering of its data.
from the above, we can therefore say that the answer In the NumPy function, the data preparation technique that is used to help machine learning algorithms is called the reshape technique or function is correct
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Answer:
C. IPIP
Explanation:
This protocol is known as an IP that stands for Internet Protocol. This protocol handles the simple task of making sure that the information is routed correctly to and from the corresponding computer machines through the internet. The sending and receiving machines are identified through their Internet Protocol Addresses which lets the protocol know exactly where the information is going and being sent from.
A 2d array (i.e. 2 dimensional array) represents its elements in rows and columns
<h3>The program in Java</h3>
The method in Java, where comments are used to explain each line is as follows
//This defines the method
public static int diagSum(int[][] myArray) {
//This initializes sum to 0
int sum = 0;
//This iterates through each row of the array
for (int i = 0; i < myArray.length; i++) {
//This calculates the sum of the diagonals
sum+=myArray[i][i];
}
//This returns the sum
return sum;
}
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False. You should have little text and lots of pictures, because you are the one who should be doing the explaining, not the presentation.
It would be, <span>the <span>microprocessor.
</span></span>
It is also a multipurpose and programmable device that accepts inputted data and process the data to provide an output.
Hope this helps!
