"Machine Learning for Partial Differential Equations" by Michael Brenner

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  • Опубликовано: 31 дек 2024

Комментарии • 5

  • @GBabuu
    @GBabuu 3 года назад +2

    I can listen to this all day!! Thanks for posting the video

  • @raybroomall8383
    @raybroomall8383 3 года назад

    I'm a layperson though not completely ignorant of the scientific magic we now have since computers can learn.
    What I got from your presentation is ... this is just the tip of the iceberg.
    And the biggest challenge is structuring the data.
    Thank you.

  • @mohammadkarami8984
    @mohammadkarami8984 4 года назад +1

    Can we have access to the power point presentation?

  • @kevinurban1016
    @kevinurban1016 5 лет назад +1

    This talk is fantastic!

  • @perlindholm4129
    @perlindholm4129 5 лет назад

    Very nice. With classification I think you can use stacked venn-diagrams to get a higher accuracy from variations of the same model(). Take advantage of model variation 0.001*overfitting that is. You get more probable truth in the venn circle's intersection.