FallCreekRing Posted August 22, 2019 Share Posted August 22, 2019 Hi all, I am a rising senior in stats major. I am going to apply for PhD programs in stats in 20 Fall. This fall, I have the option to take statistical inference (Casella, G. and Berger) or machine learning (known to be one of the most interesting and useful CS courses at my institution). They are offered at the same time. I heard statistical inference is helpful for PhD application while machine learning is also a super popular topic in stats. I am interested in both theoretical and computing area of stats so that it is hard to make up my mind. Can anyone give some advice? Thank you very much Link to comment Share on other sites More sharing options...
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