Feedback Control
Feedback control is a process in which a system's output is measured and compared with a desired output, and the difference between the two is used to adjust the system's input in order to bring the output closer to the desired value. In data science and artificial intelligence, feedback control is used to optimize the performance of machine learning models and other algorithms. By continuously monitoring the output of a system and adjusting its input, feedback control can help to improve accuracy, reduce errors, and increase efficiency. This approach is particularly useful in situations where the system being controlled is complex and dynamic, and where the desired output may change over time.
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