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Is it possible to use ML to improve on training returns? Similar to neural architecture search or circuit design optimization, can we use it to maximize performance and accuracy through training set selection/optimization?



Data subset selection is an age old problem / sub-field in ML. Feature selection is a special case of this broader problem.




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