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As somebody that has started learning AI/ML and was looking at the exact question here three months ago - I found the Andrew Ng deeplearning.ai Coursera course an amazing starting point.

It was high level enough, and got me to understand enough, to get me to a point where I could start trying to build a side-project, without exposing me to the deeper math behind Neural Nets.

It was a great starting point without being overwhelming. Now I feel that I have the option to either go deeper if I need to, or go wider.

I find Andrew Ng to be an amazing teacher - explains things simply, clearly, and in a way that I find super easy to understand.




On that note, do any of these courses take a deep dive on the deeper mathematics of neural nets?


Yes, see: https://www.coursera.org/learn/machine-learning

It starts out reaaaally basic but give a thorough grounding of the maths and the intuition behind it.




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