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>
Research software developer resume. reword some things and then u got it
The program below is able to calculate the area of a circle inscribed in a Square.
<h3>What is a program?</h3>
A program is a set of instructions given to the computer with specific end results in mind.
<u>Sample program in Java
</u>// Java Program to find the area of
// an inscribed circle in a square.
import java.io.*;
class GFG {
static double PI = 3.14;
// Function to find area of an
// inscribed circle in a square.
static double areaOfInscribedCircle(float a)
{
return ( PI / 4 ) * a * a;
}
// Driver code
public static void main (String[] args)
{
float a = 8;
System.out.println("Area of an inscribed"
+ " circle: " + areaOfInscribedCircle(a));
}
}
Learn more about programs at :
brainly.com/question/1538272
#SPJ1
Answer:
Linear
Explanation:
Binary search can be performed only in sorted arrays.
