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Does anyone think these lectures would be a good place to start for someone with web development experience (LAMP + JS) and zero AI & ML knowledge ?

If yes, what is missing from these lectures ( related to AI or ML or Deep Learning ) which has been discovered or developed recently and should be learned during the start ?

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It's a great introduction to the broader world of AI, but you will barely skim the surface of ML.

What would you recommend then ?

Andrew Ng's ML course and Chris Olah, Andrej Karpathy, and Jeremy Kun's blogs were great resources that contributed to my understanding of ML.

If you don't have a statistical background (or haven't taken Stats 101), I would go with some Stats 101 class first

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