Pascal Van Hentenryck - Fusing Machine Learning and Optimization - IPAM at UCLA

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  • Опубліковано 4 гру 2024

КОМЕНТАРІ • 1

  • @CristianoKlein
    @CristianoKlein Рік тому

    Optimization is more pragmatic than ML. Can be more easily explainable than ML algorithms. ML could be a “black box” and harder to explaining they behaviors. It could be a challenging to transform the output from one to the input to other.