mutation operators in machine learning
Mutation operators in machine learning are specific techniques used to introduce small and purposeful changes to the genetic material or parameters of a machine learning model. These changes aim to simulate the process of genetic mutation in biological systems, allowing the model to explore and potentially discover novel solutions, improving its performance, and adapting to new situations.
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