Bayesian optimization: Revision history

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19 March 2023

  • curprev 15:4315:43, 19 March 2023‎ Walle talk contribs‎ 3,947 bytes +3,947‎ Created page with "{{see also|Machine learning terms}} ==Introduction== Bayesian optimization is a global optimization technique in the field of machine learning, primarily used for hyperparameter tuning and expensive black-box optimization problems. The approach is based on the principles of Bayesian inference, where prior knowledge is updated with observed data to make better predictions about the unknown function. Bayesian optimization has been widely used in various applications, inclu..."
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