Optimization Problem
In Data Science and Artificial Intelligence, an optimization problem refers to the task of finding the best solution from all feasible solutions. It involves maximizing or minimizing an objective function while satisfying a set of constraints. Optimization problems are commonly used in machine learning, where the goal is to find the best model parameters that minimize the error between predicted and actual values. There are various optimization algorithms such as gradient descent, stochastic gradient descent, and genetic algorithms that are used to solve optimization problems.
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