A. An optimizer, in the context of machine learning and optimization algorithms, is a computational technique or algorithm used to adjust the parameters of a model to minimize or maximize a specific objective function. It aims to find the optimal set of parameters that result in the best performance, such as minimizing loss in a neural network during training, by iteratively updating parameter values based on gradients or other criteria.