Genuine question: What do people feel they understand after going through this? If we wrote out every matrix multiplication for linear regression, would we say we've truly grasped it? Is the takeaway about implementation mechanics, or does it build deeper intuition?<p>I see the value in visualization, but what’s the real educational gain beyond that?<p>(I'm an ML person/mathematician, but I haven’t lectured in over a decade—maybe I just don’t get it. I tend to prefer tutorials that build connections to known ideas, so this might be a blind spot for me.)