asymptoticallyAbnormal Posted January 12, 2014 Share Posted January 12, 2014 Hello, This posting is about the Math Subject GRE, not the Quantitative section of the regular GRE. WHY I WANT TO TAKE IT: I applied to grad schools this season (for fall 2014 enroll) but am worried I will not get in since I didn't have a subject GRE. I want to prep for the subject GRE now so if I do not get in anywhere I can be prepared to take the subject before re-applying. PROGRAMS OF INTEREST: Without going into too much detail, I want to study machine learning (ML). Since my background is in math and statistical programming, I am applying to applied math programs that have a strong ML focus (or ML labs nearby) rather than Computer Science departments with ML. One example is Johns Hopkins dept of Applied Math and Statistics. WHERE I NEED HELP: I have a BA in Math and Econ (2012). I thought I wanted a Ph.D. in econ, so when I was in undergrad, I took math courses that would be most useful for an Econ program. As a consequence, I didn't take a lot of the material that is covered on the subject GRE. Since I have a math major, I have the ability to independently learn math materials and I can write and read proofs just fine. I just need to know which textbooks are most important to pick up to fill in my gaps. Classes I've Taken: Single- and Multi- variable Calc Differential Equations (though this course was pretty limited) Linear Algebra Real Analysis Topology Linear Optimization / Operations Research Probability Statistics / Econometrics When I picked up a book on the subject GRE (Princeton Review), I noticed that it talked about geometry, algebra, and complex analysis, which I know right now I should go learn. But it's not likely that I will be able to teach myself all these in the next 5 months (I also have a full time job), so I need to know where to prioritize. Thanks so much!! Let me know if you want more info... -----asymptoticallyAbnormal Link to comment Share on other sites More sharing options...
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