Web conferencing would allow you to communicate freely with the team but cloud computing allows you to share data between the group. The answer would be A. Cloud Computing
What is referred to the description above is the term SELECTIVE ATTENTION. When there is selective attention, there are certain memories that are only selected and these are processed to become part of the short-term memory. Not everything that is being sensed is remembered.
The answer to the given question is (B) PAN.
A PAN (personal area network) connection is <u>a network used for interconnecting devices centered on a person’s workspace</u>. Bluetooth is a type of wireless PAN. Bluetooth-based wireless PAN connection is also called a <em>piconet</em>. Other examples of PAN that is not wireless based include a USB drive.
D. You will not be able install the processor in the wrong motherboard.
<u>Explanation:</u>
Brandon before buying any microprocessor for upgrading in the mother board, Brandon has to take care of following things
1. Whether upgrade is possible, if possible where mother supports or not
2. Pick socket combination is correct or not.
3. After upgrading the microprocessor, Brandon has to check whether voltage and cooling fans fit in the same space in the mother board.
4. Whether existing ram type supports or not.
5. Sometimes once fixed removing upgrading microprocessor will damage the mother board.
Since Brandon has already concluded motherboard chipset compatibility is not been checked.
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.
