Answer:
It should be the Central processing unit, as it is the part where information is calculated in the compute, but RAM is also an internal working, used for temporarily storing information. I would Go with CPU to be safe.
Answer:
The answer is nearest-neighbor learning.
because nearest neighbor learning is classification algorithm.
It is used to identify the sample points that are separated into different classes and to predict that the new sample point belongs to which class.
it classify the new sample point based on the distance.
for example if there are two sample points say square and circle and we assume some center point initially for square and circle and all the other points are added to the either square or circle cluster based on the distance between sample point and center point.
while the goal of decision tree is to predict the value of the target variable by learning some rules that are inferred from the features.
In decision tree training data set is given and we need to predict output of the target variable.
Explanation:
Consider the given data:
Assume packet length=n
Maximum queuing delay= (n–1)D
All packets are of the same length, n packets arrive at the same time to the n input ports, and all n packets want to be forwarded to different output ports.
a) The maximum delay for a packet for the memory = (n-1)D
b) The maximum delay for a packet for the bus = (n-1)D
c) The maximum delay for a packet for the crossbar switching fabrics= 0
Hang up, and inform your (real) bank that someone may attempt to steal your identity and your money.
Answer: A and B
Explanation: just did it on edge