Assertion: gradient descent | /r/CapableOf | use whole dataset
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Source sentences:
text: Batch gradient descent (BGD) computes the gradient using the whole dataset.
text: Unlike the batch gradient descent which computes the gradient using the whole dataset, because the SGD, also known as incremental gradient descent, tries to find minimums or maximums by iteration from a single randomly picked training example, the error is typically noisier than in gradient descent.