Agnihotri, ApoorvApoorvAgnihotriBatra, NipunNipunBatra2025-09-042025-09-042020-05-012476-075710.23915/distill.00026https://d8.irins.org/handle/IITG2025/30148Many modern machine learning algorithms have a large number of hyperparameters. To effectively use these algorithms, we need to pick good hyperparameter values. In this article, we talk about Bayesian Optimization, a suite of techniques often used to tune hyperparameters. More generally, Bayesian Optimization can be used to optimize any black-box function.en-USMining GoldGold DistributionBayesian OptimizationAcquisition FunctionsArticlehttps://doi.org/10.23915/distill.00026Article48123456789/432