Answer:
JPG / JPEG best choice and work well on websites
Explanation:
JPEGs contains millions of colors, so this type of file is ideal for photographs.
Best choice for posting on social media channels
Hey there! Hello!
I'm certainly not an expert at anything related to ethernet, but I do believe that the answer you're looking for is a jam signal. To my limited understanding, <span>CSMA/CD makes computers "listen" before sending data to see if their signal is currently being used. If it's not, it'll send. The computer and sender will continue to "listen" to see if a jam still occurred afterwards. If one did occur, a jam signal will be sent to everyone who may send something over that signal, warning them not to send anything else, since it will not be successful and may make the jam worse.
Hope this helped you out! I would normally tell the question–askers that they can ask me any additional questions they may have, but... that's the extent that I know about ethernet, haha! :-)</span>
Answer:
b) objects are resuable
Explanation:
In OOP there's code reuse where a method or any other body of code is defined once and called or reused severally.
Answer:
There could be a collision if a hidden node problem occurs.
Explanation:
CSMA/CA(carrier sense multiple access/ collision avoidance) is a multiple access method in wireless networking, that allows multiple node to transmit. Collision avoidance of this method is based on preventing signal loss or downtime as a result of collision of transmitting multi signals.
If a node at step 4(transmit frame) sends the first frame, the node still needs to send a RTS(request to send) and to receive a Clear to send (CTS) from the WAP, the is to mitigate the issue of hidden node problem as all frame are treated as unit, so other listening nodes, not detected would seek to connect and transmit as well.
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.