Answer:
Topology means arrangement of nodes
Explanation:
In computer science the word topology means the arrangement of nodes and elements in a network. For any topology we do need nodes and cables for maintaining the infrastructure.
In mesh topology the all nodes use to get connected by direct link. While each and every node is directly associated with one another. In this infrastructure we do need lot cabling where every node will be connected with one another. While usage of good quality cable in network is also expensive to manage. Although there are lot of benefits of this topology, where the transmission of data would never stop if node is not working the rest will be working to transfer the data among other nodes ,this is more secure because there is no traffic for data to travel via many nodes to reach the destination. Every node is directly connected and communicate. So, once the node is not working the communication will not be stop but the maintenance and troubleshooting will be difficult in this infrastructure.
It is proved along with lot of benefits and network security ,this infrastructure is having some disadvantages as well. Cabling expense , maintenance cost etc . usually small scale networks do not prefer mesh topology. Small scale and low budget companies can not afford this topology because it is expensive.
Although we do believe that the data security is most important for today's era ,so few companies those wanted to keep their information secure and confidential they must use mesh topology by ignoring the cost incurred for this set up. Data security and integrity would never be compromised by some of the companies.
Mesh topology is more safer, more quick infrastructure which is although very expensive , difficult to mange and maintain. Moreover it is overhead of cabling as well to connect every node but the demand of mesh topology would never be less. It is demanding and appealing topology still.
Answer:
Theoretically Yes
Explanation:
The data given is linearly separable. So, the subset of the data will also be linearly separable. And it will pass for all training dataset. However, you should definitely never expect such thing In any real-life problem because the data is noisy, for a bazilion of reasons, so no model is guaranteed to perform perfectly.
The keyboard shortcut to bring up print on windows is ctrl+P, for Mac it's cmd+P.
Unless, you mean print screen - for that, there is a button that should say prt sc on your keyboard for windows, and for Mac, it's cmd <span>+ ctrl + shift + 3 to save to clipboard (or don't hold down the ctrl to save to your desktop).</span>
Well it all depends how you plan on making it as you would need to know Web Development or you could just copy paste code from YT
She would make use of JavaScript if she wants to make it interactive, CSS if she wants to design it, Text editor obviously for coding the blog and a web browser for the result hope this helps
