Hello. I am currently enrolled in CMU and very conversant in linear algebra, multivariable calculus, differential equations, and probability and stats. I was wondering if I should jump right into stanford’s cs 229 machine learning course or go through the introduction to elements of statistical learning lecture first. I haven’t learned R yet, but I do know a bit of python.

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Which way would be the most effective? Any advice would be so thankful! 🙂