SCITalk: Bayesian optimization and design of experiments
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YouTubeSCI – Where Science Meets Business
SCITalk: Bayesian optimization and design of experiments
Professor Ruth Misener is the BASF/RAEng Research Chair in Data-Driven Optimisation (2022-27) at the Imperial Department of Computing. Foundations of her research are in numerical optimisation and computational software. Her applications focus on optimisation challenges arising in industry, e.g. scheduling in manufacturing or experimental ...
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Bayesian optimization is a method used to optimize complex functions that are expensive or time-consuming to evaluate. It is widely applied in machine learning, engineering, and scientific research to improve efficiency and precision, particularly in scenarios like hyperparameter tuning and experimental design. ✔️ Efficient Function Evaluation: Bayesian optimization minimizes costly evaluations, making it ideal for scenarios where each evaluation has a high resource cost. ✔️ Versatility: It hand
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