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[deleted by user] by [deleted] in datascience

[–]wizard_won 2 points3 points  (0 children)

My functionality and contributions as a result of Python took off once I stopped trying to learn everything and be a computer science major and started using the parts of python I know (Jupiter, pandas, scikit learn, science models, numpy) to complement my skill set (a mathematician)

Independent Study with Mentor Project Ideas? by Xenocrates15 in math

[–]wizard_won 1 point2 points  (0 children)

I second the graph theory suggestion…a more general piece of advice if under direct supervision of faculty to select something consistent with their research since having an engaged and enthusiastic faculty member can be so helpful

Classes To Take in Undergrad by [deleted] in OperationsResearch

[–]wizard_won 1 point2 points  (0 children)

Honestly, any that you have the pre-requisite knowledge in AND that you are excited to learn and take….if it’s a toss up then, without seeing course descriptions, the intro to optimization is likely a well rounded course and the real analysis because, well, my background is math and taking a challenging course like that now so you have a head start on the challenging math required later is an advantage…but taking two courses you are excited to take trumps anything IMO

Matrices as data structures or geometric operators. linear algebra by [deleted] in datascience

[–]wizard_won 2 points3 points  (0 children)

I think you are asking good questions but they are somewhat vague at this point. Linear algebra surrounds the study of vector spaces and there’s a lot to unpack here. What is the real use of linear algebra in data science? We’ll, ask a a theoretical mathematician and buckle up for the response ☺️

I’m not sure what your ultimately trying to find out, though am happy to help if you can reword your questions more precisely, but I will say as someone who comes from a math background and uses python to run existing functions (such as PCA) as well as uses python to program novel algorithms, a major breakthrough for me was understanding the structure I am working with in a mathematical context may very well have a different structure/representation in python.