How do optimization algorithms work?

Can you explain how optimization algorithms work?

Sure! 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.

What are some common types of optimization algorithms?

Some common types include gradient descent, genetic algorithms, and simulated annealing. Each has its own strengths and applications.

How does gradient descent specifically work?

Gradient descent works by iteratively moving towards the minimum of a function. It calculates the gradient (slope) and updates the parameters in the opposite direction to minimize the error.

Can you give an example of where optimization algorithms are used?

Absolutely! They are used in training machine learning models, optimizing supply chains, and even in financial portfolio management.