What role does the learning rate play in gradient descent?
Select an answer to reveal the explanation.
Short Explanation
Here's the deal — It scales the step size taken against the gradient when updating parameters
Full Explanation
The correct answer is: It scales the step size taken against the gradient when updating parameters. This matches standard ML/AI engineering practice for Domain 3: Optimization. Distractors confuse adjacent concepts or unsafe operational shortcuts. In production, validate with held-out data, monitoring, and governance appropriate to risk.