Ray Kurzweil
Machine Learning
A hyperparameter optimization method that samples random combinations of parameter values from specified distributions.
Detailed Explanation
Random Search is a hyperparameter optimization technique used in machine learning. It involves selecting random combinations of parameter values from predefined distributions within specified ranges. This method is often more efficient than grid search for high-dimensional spaces, as it explores a broader set of configurations, increasing the likelihood of finding optimal parameters with less computational effort.
Use Cases
- •Use case: Optimize complex models by randomly sampling hyperparameters, reducing time and improving the chances of finding the best model configuration.
Related Terms
Other terms in the Machine Learning category