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Really appreciate this effort. My mathematical background is somewhat lacking and I'd love to pursue ML/Data science where I'm led to believe this is a prerequi
by jm547ster 10y ago
Really appreciate this effort. My mathematical background is somewhat lacking and I'd love to pursue ML/Data science where I'm led to believe this is a prerequisite.
Anyone able to tell me what other areas of math I might need as a baseline before diving in here?
- taeric 10y agoPractically, a main difficulty in ML/Data science, is getting the data. Applying algorithms is largely limited to applying implementations of algorithms. So, yes, it helps to be familiar with this level of stuff. But don't let it stop you tinkering with what you have access to.
- jacobolus 10y agoIf you have already studied linear algebra at an undergraduate level, read Trefethen and Bau’s book. Otherwise, perhaps find an undergraduate course somewhere first (OCW? Some MOOC?). Most of the stuff on this list is very abstract and technical, and won’t necessarily be relevant to you unless you want to become a professional mathematician.
- davidmr 10y agoMy advice to you would be to start backwards. Find a few interesting-looking papers in the field and get a feel for the math involved and learn it. If you learn your mathematics as a tool to make sense of the papers you're reading, you're likely to be going down the right path for your goals. That said, linear algebra and statistics (+ prereqs) are an absolute necessity.
- deleted 10y ago[deleted]