Regarding gradient descent training algorithms, select all correct statements from the list below.

Group of answer choices

A$)$ It is typically a good option to use Batch Gradient Descent even if the entire training set does not fit in the memory.

B$)$ It is typically a good option to use Stochastic Gradient Descent over Batch Gradient Descent if the entire training set does not fit in the memory.

C$)$ It is typically a good option to use Min$-$Batch Gradient Descent over Batch Gradient Descent if the entire training set does not fit in the memory.

D$)$ A and B

E$)$ A and C

F$)$ B and C

G$)$ A and B and C

H$)$ Neither A nor B nor C