👉 In the context of artificial intelligence and machine learning, "autostandardization" refers to the process of creating or refining an algorithm so that it is not only capable of solving a specific problem but also performs well on unseen data. This can be achieved by adjusting the parameters of the algorithm without changing its core functionality. For example, imagine you are developing an AI system for predicting stock prices based on historical data. If you had a large amount of real-world data and a lot of training data to
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