Answer:
Predicting characteristics of high-value customers is the business case that better solved by Artificial intelligence than conventional programming.
Explanation:
Many corporations and businesses predict CLVs only by resembling at the total monetary expense of sales, without recognition circumstances. For instance, a customer who executes one big order might be less worthwhile than another consumer who purchases multiple occasions, but in more diminutive amounts.
Use the mouse to click on cell E14 and press delete
Four binary digits. So letter D.
Answer:
import java.lang.Object
import java.lang.Math
public class RegularPolygon extends java.lang.Object{
public void randomize(RegularPolygon c){
int min = 10, max1 = 20;
double min1 = 5, max1 = 12;
double range = (max - min) + 1;
double range1 = (max1 -min1) + 1
int side = (Math.random() * range) + min;
double len = (Math.random() * range1) + min1;
c.setNumSides(side);
c.setSideLength( len);
}
public static void main(String[] args) {
RegularPolygon r = new RegularPloygon();
randomize(r);
}
}
Explanation:
The randomize method accepts a regular polygon class as its only parameter and assigns a random number of sides and the length of these sides with the 'Math.random' function.
