Answer:
The program to this question as follows:
Program:
//header file iostream
#include<iostream> //including file for use basic function
//using name space
using namespace std;
//main method
int main() //defining main method
{
int a[3][3]; //defining two dimension array
int x,y,sum=0; //defining variables
cout<<"Enter array elements: "<<endl; //message
for(x=0;x<3;x++) // for row
{
for(y=0;y<3;y++) //for column
{
cin>>a[x][y]; //input values from user.
}
}
//loop for calculting sum.
for(x=0;x<3;x++)
{
for(y=0;y<3;y++)
{
sum=sum+a[x][y];//add all elements
}
}
cout<<"Sum: "<<sum; //print sum.
return 0;
}
Output:
Enter array elements:
1
2
3
4
5
6
7
8
9
Sum: 45
Explanation:
In the above C++ programming language code first, a header file is included then the main method is declared, inside a main method 2D array that is "a[][]", and an integer variable is defined that are "i, j, and sum". In the next line for loop is used, this loop is used two times that can be described as follows:
- The first time it is used for inserting elements from user ends.
- The second time, it uses the sum variable to add all array elements. and in the last print function that is "cout" is used for print sum variable value.
Answer:
Kindly check Explanation.
Explanation:
Machine Learning refers to a concept of teaching or empowering systems with the ability to learn without explicit programming.
Supervised machine learning refers to a Machine learning concept whereby the system is provided with both features and label or target data to learn from. The target or label refers to the actual prediction which is provided alongside the learning features. This means that the output, target or label of the features used in training is provided to the system. this is where the word supervised comes in, the target or label provided during training or teaching the system ensures that the system can evaluate the correctness of what is she's being taught. The actual prediction provided ensures that the predictions made by the system can be monitored and accuracy evaluated.
Hence the main difference between supervised and unsupervised machine learning is the fact that one is provided with label or target data( supervised learning) and unsupervised learning isn't provided with target data, hence, it finds pattern in the data on it's own.
A to B mapping or input to output refers to the feature to target mapping.
Where A or input represents the feature parameters and B or output means the target or label parameter.
Answer:
computer architecture is a set of rules and methods that describe the functionality, organization, and implementation of computer systems. The architecture of a system refers to its structure in terms of separately specified components of that system and their interrelationships.
Explanation:
private void btnDelete_Click(object sender, EventArgs e)
{
if (this.dataGridView1.SelectedRows.Count > 0)
{
dataGridView1.Rows.RemoveAt(this.dataGridView1.SelectedRows[0].Index);
}
}
