there are many good materials such as the fantastic fast.ai course that don’t require such mathematical background.
if you are motivated to learn about ML, then studying the topic can gradually be a route in to more mathematical knowledge so that equations like this would not seem intimidating.
I have not actually looked at it in detail, but the legendary Gilbert Strang, in addition to his classic linear algebra course, also has a course that aims to teach enough linear algebra to explain deep learning called "Linear Algebra and Learning From Data". Maybe this is also helpful.
https://i.imgur.com/DCAnoCu.png
It will also make an attempt at turning the expressions into Python. It bombed out at first but caught itself and retried without any additional prompting:
https://i.imgur.com/nzywKkb.png
Not being familiar with SymPy, though, and not having time to think it through myself, this might be a bunch of hallucinated gobbledygook. Caveat lector.
But you should use it.