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Bayesian optimization
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<p>Bayesian optimization is a <a href="/facts/Sequential_analysis/K8nla6cd">sequential design</a> strategy for <a href="/facts/Global_optimization/nksWlDqU">global optimization</a> of <a href="/facts/Black_box/hJeAGnIz">black-box</a> functions, that does not assume any functional forms. It is usually employed to optimize expensive-to-evaluate functions. With the rise of <a href="/facts/Artificial_intelligence/lJGauQwX">artificial intelligence</a> innovation in the 21st century, Bayesian optimizations have found prominent use in <a href="/facts/Machine_learning/e0w0XJTu">machine learning</a> problems for <a href="/facts/Hyperparameter_optimization/bzcJJrxs">optimizing hyperparameter values</a>. </p>