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Statistical Machine Learning, Spring 2016

stat.cmu.edu

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Re: Statistical Machine Learning, Spring 2016

#6
post #5

Interesting...seems like all the content is available. Last I remember, you needed a CMU ID to access the course materials.

It seems like in general universities are moving in the direction of openness. It makes sense, the more people associate the university with "learning" the more prestige the university gets. I think that Andrew Ng's Coursera class really cemented the Stanford and ML association for a lot of people.

Re: Statistical Machine Learning, Spring 2016

#7
post #5

Interesting...seems like all the content is available. Last I remember, you needed a CMU ID to access the course materials.

Class of 2012 CMU student here. The availablility of course materials varies strongly by teacher/department. All my CS and statistics course materials were accessible by public internet, but all my business/economics class materials were only available on Blackboard (ugh).

Re: Statistical Machine Learning, Spring 2016

#8
For those of you interested in this stuff, this course (10-702) is the second in a series. The 10-701 course, "Intro to Machine Learning", is a fantastic course as well, even if just for the exercises. This year's version is here [1], you can find lecture notes, links to lectures posted on YouTube, homeworks, readings, etc. You can also just google "10-701" and see a lot of previous course websites with similar material.

For what it's worth, nowadays, the problem isn't availability of learning material. This stuff is being literally given away. Its that you, the student, has to really dedicate time to the material. The first homework assignment for the 10-701 class wasn't even that difficult (relatively speaking) and it still took me over ten hours to finish. Persevere! It's worth it.

[1]: http://www.cs.cmu.edu/~mgormley/courses/10701-f16/

Re: Statistical Machine Learning, Spring 2016

#9
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/

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