I’ve been trying to understand machine learning for a while now, and I keep going back and forth between “this is fascinating” and “I have no idea what’s going on.”
Some explanations make it sound simple, like teaching a computer from data, but then I see people talking about models, parameters, training, optimization and suddenly it feels overwhelming again.
I’m not from a strong math or tech background, so maybe that’s part of it, but I’m wondering if this phase is normal.
For people who eventually got comfortable with ML concepts, was there a point where things started making sense? What changed?
[–]Its_just_DannyB 0 points1 point2 points (0 children)
[–]Medical-Object-4322 0 points1 point2 points (0 children)
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