Some common techniques include feature selection, hyperparameter tuning, using efficient algorithms, and employing parallel processing. These approaches help in reducing training time and improving model accuracy.
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#hyperparameter tuning
What are some common techniques to optimize the performance of a machine learning model during training?
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