Subspaces in Machine Learning

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  • Опубліковано 29 лис 2020

КОМЕНТАРІ • 3

  • @VolumetricTerrain-hz7ci
    @VolumetricTerrain-hz7ci Місяць тому

    There are unknown way to visualize subspace, or vector spaces.
    You can stretching the width of the x axis, for example, in the right line of a 3d stereo image, and also get depth, as shown below.
    L R
    |____| |______|
    TIP: To get the 3d depth, close one eye and focus on either left or right line, and then open it.
    This because the z axis uses x to get depth. Which means that you can get double depth to the image.... 4d depth??? :O
    p.s
    You're good teacher!

  • @anilcelik16
    @anilcelik16 3 роки тому

    Thanks for the lecture how can we see the notes you mentioned in the video?

  • @user-ty5xi7or5s
    @user-ty5xi7or5s 3 роки тому

    6:51, you note 'consider s \in R^N', but s disappears in the definition?