Interpreting ML models with explainable AI

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  • Опубликовано: 8 сен 2024

Комментарии • 10

  • @coryrandolph8501
    @coryrandolph8501 3 года назад +2

    Great video. Thank you.
    Can you provide information on how to explore the Global and Local feature explainability entirely in Colab regression/Keras models (possibly with What-If Tool)?

  • @livantorres7649
    @livantorres7649 3 года назад

    This is exactly what I’ve been looking for. Thanks for making these videos!

  • @peterpaul2773
    @peterpaul2773 3 года назад +1

    A very useful and helpful video! Thank you.

  • @stevenzhang6585
    @stevenzhang6585 3 года назад +1

    wonderful video

  • @username42
    @username42 3 года назад +2

    can we try those demos in the free tier google cloud ?

  • @prachijadhav9098
    @prachijadhav9098 2 года назад

    It's helpful, thanks!
    However, Is this explainable AI service available for pytorch models? I can see only for TensorFlow models?

  • @souravthakur6222
    @souravthakur6222 2 года назад

    Is there feature importance for multivariate forecasting AutoML problem?

  • @dipanwitamitra3029
    @dipanwitamitra3029 2 года назад

    How to use deploy model with explainable ai in custom classification pipeline for logistic regression?

  • @sahilaseeja7686
    @sahilaseeja7686 3 года назад

    Can explainable Ai can be used for text data?