Machine Learning & Training

What Is Bayesian Optimization?

Bayesian optimization is a strategy for tuning hyperparameters that builds a probabilistic model of how settings affect performance. It uses this model to choose the most promising configurations to try next, balancing exploration and exploitation. This makes it more efficient than grid or random search for expensive evaluations.

Further reading

Read more about Bayesian optimization — articles and blogs from around the web: