I am planning to do a research on use of ai in localized data centers. I have following questions:
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How can LSTM and DL algorithms be helpful in data centers.
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How many datasets should I use to get an accurate result.
I am planning to do a research on use of ai in localized data centers. I have following questions:
How can LSTM and DL algorithms be helpful in data centers.
How many datasets should I use to get an accurate result.
LSTMs are useful for time series or sequences.
“DL algorithms” is too general a term to provide an answer.
Use all of the datasets you can find.
Please go through a concept called time series. Here’s a course that covers forecasting the future based on data from the past.
Google does use this concept for capacity planning, cooling of their data centers and and for other tasks to achieve better operational efficiency (link here)
I mean RL not DL typo mistake
How can I test them should I use Virtual Machine to simulate it or on cloud
It depends on what you’re trying to model.