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Most of the comments on here are from people in the field of ML saying "this is a toy example, ML is hard." Maybe that's the case. And maybe the title of the s
by aidos 13y ago
Most of the comments on here are from people in the field of ML saying "this is a toy example, ML is hard."
Maybe that's the case. And maybe the title of the submission ruffled some feathers but the thrust of it is that ML is approachable. I'm sure there's devil in the detail, but it's nice for people who are unfamiliar in a subject to see it presented in a way that's more familiar to them with their current background.
I have a university background in Maths and Comp Sci so I'm not scared of code or mathematical notation. Maybe if I'd read the comments on here I'd get the sense that ML is too vast and difficult to pick up. I'm doing Andrew Ng's coursera course at the moment and so far it's all been very easy to understand. I'm sure it gets harder (I even hope so) and maybe I'll never get to the point where I'm expert at it, but it would be nicer to see more of a nurturing environment on here instead of the knee jerk reactions this seems to have inspired.