Answer Posted / Saurav Kumar Roy

Optimization in Machine Learning (ML) is the process of finding the best set of hyperparameters for an algorithm that minimizes the error or maximizes the performance on a given dataset. This is often achieved by using methods such as gradient descent, genetic algorithms, and Bayesian optimization.

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