Machine Learning

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What kind of mathematical foundations are required for conducting research across the vast specialised branches of AI/ML/DL? [D] (alien.top)

submitted 10 months ago by HopeIsGold@alien.top to c/machinelearning@academy.garden

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The absolute basic mathematics that is required to understand basic ML/DL are calculus, linear algebra, probability and some convex optimisation. We are all aware of that.

But ML and DL has become a vast field both in breadth and depth. A single person can't understand the field entirely. There are specialistions and sub-specialisations and further more.

If you work in a branch of ML/DL research where some other math fundamentals are needed to understand research papers and do innovative research, can you mention your field of work and the math fundamentals that are required to gain entry into your field?

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[–] x_eL_ReaL_x@alien.top 1 points 10 months ago

Tbh nothing outside of some basic knowledge of what y = f(x) looks like. It’s really more about coding ability and an understanding of the machine. This is coming from someone with both a math and physics degree. I wish my mathematical skills were more relevant than my coding skills, but they simply aren’t. Just know how to optimize code and you’re good