Answer:
d) Social networking sites
Explanation:
-Intranet is a network that is created by an organization to share information, tools and different services inside the company.
-Wikis are websites used to share content and knowledge and different users can modify the information.
-VoIP is a technology that allows you to make calls over the internet.
-Social networking sites are online platforms that allow people to connect with organizations and other people, create communities online and share different types of information.
-Unified communications is a system that has different communication methods through a single application.
According to this, the collaboration technology that is becoming more and more popular within organizations because it provides a means for forming ad hoc groups, networking and locating potential business allies is social networking sites.
Answer:
It will be a java code.
Explanation:
import java.util.Scanner;
public class StringInputStream {
public static void main (String [] args) {
Scanner inSS = null;
String userInput = "Jan 12 1992";
inSS = new Scanner(userInput);`
String userMonth = "";
int userDate = 0;
int userYear = 0;
/* Your solution goes here */
System.out.println("Month: " + userMonth);
System.out.println("Date: " + userDate);
System.out.println("Year: " + userYear);
return;
}
}
Answer:
b
Explanation:
First, we need to initialize the classifier.
Then, we are required to train the classifier.
The next step is to predict the target.
And finally, we need to evaluate the classifier model.
You will find different algorithms for solving the classification problem. Some of them are like decision tree classification etc.
However, you need to know how these classifier works. And its explained before:
You need to initialize the classifier at first.
All kinds of classifiers in the scikit-learn make use of the method fit(x,y) for fitting the model or the training for the given training set in level y.
The predict(x) returns the y which is the predicted label.And this is prediction.
For evaluating the classifier model- the score(x,y) gives back the certain score for a mentioned test data x as well as the test label y.
I'd say the
size of the frame.
The size, quantity and color combination of pixels is
measured in terms of display resolution. A resolution, however, is the number
of pixels in an image and is identified by the width and the height. How you’ve
set the resolution for the display screen will determine the specific size of
the pixels.
