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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