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A machine learning engineer is looking to speed up a sluggish model tuning process by increasing the number of cores from 4 to 8, without adding more memory to the cluster. Under what conditions would this increase in cores actually accelerate the tuning process?
A
When the tuning process is randomized
B
When the model can't be parallelized
C
When the data has a lengthy shape
D
When the data has a broad shape
E
When the entire data can fit on each core