An optimization loop is a continuous cycle of testing, measuring, and refining processes to improve performance. Used in machine learning, marketing, and engineering, it iteratively adjusts variables based on feedback to achieve peak efficiency. Data scientists, product managers, and business analysts benefit by reducing waste, enhancing outcomes, and driving data-informed decisions.
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