Answer:
It can be found on View tab.
Explanation:
The view tab on Microsoft Power point is the 9th tab when counting from the left. When clicked, the view tab displays a number of tools that are aimed at visualizing how slides appear.
The ruler function is one of those tools. It is used to ensure that an object is placed or appears at a specific location in the slides. The ruler tool can be found in the Show Box which is the third box from left after Presentation View and Master View.
Answer:
1 1
2
3
5
8
13
21
34
55
Explanation:
i guess this is the answer
Answer:
Network.
Explanation:
The Transmission Control Protocol/Internet Protocol (TCP/IP) model is a standard networking protocol which allows network devices such as routers, switches, and host computers to interconnect and communicate with one another over a network. The Transmission Control Protocol/Internet Protocol (TCP/IP) model comprises of four (4) layers and these includes;
I. Application layer.
II. Transport layer.
III. Internet layer.
IV. Network layer.
The network layer in the Transmission Control Protocol/Internet Protocol (TCP/IP) model is responsible for delivering data between two nodes.
Basically, this layer known as network layer is the fourth layer of the Transmission Control Protocol/Internet Protocol (TCP/IP) model and it is typically responsible for the transmission of packets from one network device to another.
Answer: A dragon name could be name Holls and at level 14 and can breathe fire
Explanation:
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:
brainly.com/question/25523571
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