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Design of experiments
A structured approach to planning and analyzing experiments. Instead of testing one factor at a time, DoE uses statistical methods to study multiple variables simultaneously. This makes experiments more efficient, reveals interactions between factors, and helps extract maximum insight from limited data.
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Bayesian Optimization
An intelligent way to find the best settings when experiments are expensive or time-consuming. Instead of testing all possibilities, it builds a model from the data you already have and uses it to suggest the most promising next experiments. This way, you reach the optimum faster while running fewer trials.
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