Steve Brunton - Machine Learning for Scientific Discovery, with Examples in Fluid Mechanics

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  • Опубліковано 16 січ 2025

КОМЕНТАРІ • 9

  • @otter662
    @otter662 Рік тому +6

    brunton's online videos, lectures, learning material are enormously helpful , thank you.

  • @stayinthepursuit8427
    @stayinthepursuit8427 2 роки тому +5

    This guy is legend ofcourse

  • @zijingding4135
    @zijingding4135 2 роки тому +1

    I have a question for the Lorentz system: why not include d^2x/dt^2 terms in machine learning??

    • @blackmail1807
      @blackmail1807 Рік тому +1

      They’re redundant. Any second order equation can be written as two first order equations by introducing a new variable y=dx/dt.

    • @ravikiran4495
      @ravikiran4495 10 місяців тому

      In matrix form (state space form) you often define the system such that you try to adjust the system in a square form,in which the considered variable of interest might be a rate or a gradient(vectors and their components), where you can further break it down using several approaches with relatively lower complexity but ofc things such as how much of coupling is involved(between the variables) can then further complicate the task depending on how "non-linear" the interaction seems to be,but we can kind of approximate this non linearity around some points if some conditions are met.

  • @NoNTr1v1aL
    @NoNTr1v1aL Рік тому +2

    Absolutely amazing video! Subscribe to his UA-cam channel. It has a lot of great playlists.

  • @iheavense
    @iheavense 2 роки тому +1

  • @hiedtchannel
    @hiedtchannel 2 роки тому +1

    Isn’t this Steve Brunton teaching control theory?

  • @KnowL-oo5po
    @KnowL-oo5po 2 роки тому +2

    we need to merge phycology ,philosophy ,neuroscience, biology and physics to make an A.G.I