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Ketan Sagare on Instagram: "ML Interview Question Series Interviewer: Walk me through how gradient descent works, How would you decide on an appropriate learning rate for the model, and what specific problems might you observe if the learning rate is set too high or too low? Explanation: Gradient Descent is an optimization algorithm used to minimize a model’s loss function by iteratively updating parameters in the direction that reduces the loss. The idea is: compute how the loss changes with re
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