What are some effective manual tuning techniques for machine learning models?

What are some effective manual tuning techniques for machine learning models?

Some effective manual tuning techniques include grid search, random search, and Bayesian optimization. Would you like to know more about any of these?

Can you explain grid search in more detail?

Grid search involves specifying a set of hyperparameters and their possible values, then evaluating all combinations to find the best performance.

How does random search differ from grid search?

Random search samples random combinations of hyperparameters, which can be more efficient than grid search, especially in high-dimensional spaces.

What is Bayesian optimization?

Bayesian optimization is a probabilistic model that helps to find the minimum of a function by using past evaluation results to inform future searches.