To train a machine learning model, the computer often needs more processing power. In this case, a powerful CPU is needed, since it is a large data set, it needs more memory, so rather than a CPU, GPU is the solution.
Do we need to decide which processor to use before we proceed? For example, will a 30000 sample data set need this much processing power?
Thanks in advance.
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