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Dynamic: Difference between revisions
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==Introduction== | |||
In machine learning, the term "dynamic" can refer to various concepts depending on its context. Generally speaking, this indicates a system's capacity for change or adaptation in response to new information or input. Examples include updating models based on new training data or adapting robot behavior according to environmental changes. | In machine learning, the term "dynamic" can refer to various concepts depending on its context. Generally speaking, this indicates a system's capacity for change or adaptation in response to new information or input. Examples include updating models based on new training data or adapting robot behavior according to environmental changes. | ||