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1/ I don’t think either are required and agree with @fastdotai that algebra suffices. The core concepts from linear algebra and calculus that are most useful to know are very easy to get the basic gist on quickly (derivatives and matrix multiplication).
2/ My personal approach to figuring stuff out really boils down to a combination of leaning heavily on experimentation, holding all ideas of how things as temporary and subject to change, sprinkle in cross pollination from other domains/papers, and good old fashioned problem
Hmm, I'd say a solid understanding of linear algebra and calculus are required; it saves time in the long run to be able to identify what math is decoration and what is essential. Having access to lower level building blocks also allows for faster understanding, recall.
The risk of taking a code heavy approach, and I see this a lot, is you end up thinking in terms of frameworks instead of concepts. For example, rather than decomposing tasks in terms of Pytorch functions, or worse/higher--BERT--you ask, what is self-attention really doing?
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