You will need one head node, at least a dozen identical compute nodes, an Ethernet switch, a power distribution unit, and a rack. Determine the electrical demand, cooling and space required. Also decide on what IP address you want for your private networks, what to name the nodes, what software packages you want installed, and what technology you want to provide the parallel computing capabilities
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.
Answer: Wider channel bandwidth has several downside or disadvantages to it. Some of these are as follow:
a) Higher channel bandwidth means lower will be the number of channels being utilized.
b) Wider bandwidth may lead to an increase in the speed but on the other hand, it'll lead to several interference problems.