Answer:
Explanation:
Computer simulations are helpful because they can handle the computation of a big number of variables, at the same time. The universe is a constantly changing place with many different variables changing other variables. Thus, a computer is ideal to simulate, or predict, real life phenomena because of its processing power.
Answer:
"Network layer" is the correct answer to the given question .
Explanation:
The network layer is interconnected with different networks by providing permission to the network. This job is done by sending the packets in the network. The main aim of the network layer is to provide the logical addressing, routing, and fragmentation of packets.
The network layer is the layer of the OSI model whose primary function is moving the packets or datagrams in the internetwork which is connected by the routers.
The main aim of running the parameters in the linear perceptron algorithm is to be able to develop a machine learning algorithm for binary classification tasks.
<h3>What is a linear perceptron algorithm?</h3>
This refers to the linear classification algorithm that is used in machine learning.
This is done in order to learn a decision boundary that divides different classes using a hyperplane.
Hence, we can see that your question is incomplete because the parameters are not included, hence a general overview was given to give you a better understanding of the concept.
Read more about machine learning here:
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The answer to your question is,
Server virtualization
-Mabel <3