What are optimization algorithms and how do they work?
Optimization algorithms are methods used to find the best solution from a set of possible solutions. They are widely used in various fields like machine learning, operations research, and engineering.
Can you give me some examples of optimization algorithms?
Sure! Some common examples include Gradient Descent, Genetic Algorithms, and Simulated Annealing.
How does Gradient Descent work?
Gradient Descent works by iteratively moving towards the minimum of a function by following the direction of the steepest descent, which is determined by the negative gradient.
What are the applications of these algorithms?
Optimization algorithms are used in various applications such as training machine learning models, resource allocation, and scheduling problems.
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