What are the different search algorithms used in machine learning?

What are the different search algorithms used in machine learning?

In machine learning, common search algorithms include gradient descent, genetic algorithms, and simulated annealing. Would you like to know more about any specific one?

Can you explain how gradient descent works?

Sure! Gradient descent is an optimization algorithm used to minimize the loss function by iteratively moving towards the steepest descent as defined by the negative of the gradient.

What are genetic algorithms and how do they differ from gradient descent?

Genetic algorithms are inspired by the process of natural selection. They use techniques such as selection, crossover, and mutation to evolve solutions over generations, unlike gradient descent which is a deterministic approach.

Are there any other search algorithms I should know about?

Yes, other notable algorithms include particle swarm optimization and Bayesian optimization, each with unique approaches to finding optimal solutions.