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Recent CMU alum here ('15). 10-701/702 are the intense higher level courses meant for ML PhD students. If you want something a little less mathematically rigoro
by gavman 10y ago
Recent CMU alum here ('15). 10-701/702 are the intense higher level courses meant for ML PhD students. If you want something a little less mathematically rigorous and a little more application focused, consider the masters version of the course, 10-601. All if its material is available here online as well [1]. That said, if you are willing to put in the effort and have the mathematical background to tackle 701/702, you definitely won't leave disappointed.
[1] http://www.cs.cmu.edu/~roni/10601/ http://www.cs.cmu.edu/~roni/10601/
- 1_listerine_pls 10y agoWhat about the lectures?
- FT_intern 10y agohttp://www.cs.cmu.edu/~ninamf/courses/601sp15/lectures.shtml http://www.cs.cmu.edu/~ninamf/courses/601sp15/lectures.shtml
- kimolas 10y agoWell, now we have 10-715 as the ML PhD-level course that corresponds to 701. https://www.cs.cmu.edu/~epxing/Class/10715/ https://www.cs.cmu.edu/~epxing/Class/10715/
- bronxbomber92 10y agoHere's a comparison of the courses. Both are aimed at PhD students, one for students in the Machine Learning Department and one for students in other departments (including CS). Edit: Whoops, forgot the actual link: http://www.ml.cmu.edu/teaching/ml-course-comparison_11.2015.pdf#Intro%20Course%20Document http://www.ml.cmu.edu/teaching/ml-course-comparison_11.2015....
- 1_listerine_pls 10y agoHave you taken a look at Caltech's learning from data ? do you know how it compares to this one?