Hyperparameter Optimization Explained for Beginners

Hyperparameter optimization is a process used to find the best settings for a computer program or model so that it works particularly well.

Imagine you have a recipe for a cake, but you are not sure how much sugar or baking time is best.

In hyperparameter optimization, different combinations are tried out to find out which fit best.

For example, this can improve the accuracy of a learning computer program by finding the right settings.