Subspaces in Machine Learning 

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!

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

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