Earlier quoted context omitted.
They don't have to care about giving content away. The golden goose is the degree which is kept in artificially short supply and very expensive.
That is a true blessing in disguise.
How so?
Statistical Machine Learning, Spring 2016
41–45 of 45 posts
Re: Statistical Machine Learning, Spring 2016
#42For 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 mater…
What I'm wondering is: where do I go on the internet to find other people who are interested in studying and discussing a particular online class? Or if that doesn't exist, should it, and could it be a good thing? stackoverflow / quora / r/math etc would still be the place for carefully-asked generally relevant questions, but it seems like it would be really helpful and motivating to have place where you could contact other people who are studying or otherwise knowledgable about the same course. It could be a mailing list, or a subreddit or whatever. Ideally it would also provide a way to put together a group of people to start on a new course. Does anything like this exist already?
Re: Statistical Machine Learning, Spring 2016
#43Recent 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, y…
Have you taken a look at Caltech's learning from data ? do you know how it compares to this one?
Re: Statistical Machine Learning, Spring 2016
#44For 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 mater…
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Re: Statistical Machine Learning, Spring 2016
#45neat