Answer:
// here is code in c++.
// include header
#include <bits/stdc++.h>
using namespace std;
// main function
int main()
{
// variables to read input
int userNum,x;
cout<<"enter the value of userNum and x :";
// read the input from user
cin>>userNum>>x;
// divide the userNum with x 4 times
for(int a=0;a<4;a++)
{
userNum=userNum/x;
cout<<userNum<<" ";
}
cout<<endl;
return 0;
}
Explanation:
Declare two variables "userNum" and "x". Read the value of these. Run a for loop 4 time and divide the "userNum" with "x" and print the value of "userNum".
<u>Output:</u>
enter the value of userNum and x :2000 2
1000 500 250 125
WordPad is defenitely more advanced.
There is no Mac equivalent.
Answer:
4. Supervised learning.
Explanation:
Supervised and Unsupervised learning are both learning approaches in machine learning. In other words, they are sub-branches in machine learning.
In supervised learning, an algorithm(a function) is used to map input(s) to output(s). The aim of supervised learning is to predict output variables for given input data using a mapping function. When an input is given, predictions can be made to get the output.
Unsupervised learning on the other hand is suitable when no output variables are needed. The only data needed are the inputs. In this type of learning, the system just keeps learning more about the inputs.
Special applications of supervised learning are in image recognition, speech recognition, financial analysis, neural networking, forecasting and a whole lot more.
Application of unsupervised learning is in pre-processing of data during exploratory analysis.
<em>Hope this helps!</em>
