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Statistical Machine Learning, Spring 2016

stat.cmu.edu

11–20 of 45 posts

Re: Statistical Machine Learning, Spring 2016

#11
post #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 mater…

Thanks! One thing that can definitely set a course apart is having advanced topics + downloadable videos + captions. I really enjoyed the Stanford NLP CS224d videos, which hit all 3 and even have their own torrent [1].

Does anyone know if there's a platform for crowdsourcing video captions, maybe from the anime world?

Edit: it appears as though you can correct the auto-generated captions on Youtube videos (perhaps only if you're the owner). What a great way to get labeled Speech Recognition data for free.

[1] http://academictorrents.com/details/dd9b74b50a1292b4b154094b...

Re: Statistical Machine Learning, Spring 2016

#12
post #5

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

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.

Re: Statistical Machine Learning, Spring 2016

#13
post #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, y…

What about the lectures?

Re: Statistical Machine Learning, Spring 2016

#14
post #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, y…

What about the lectures?

http://www.cs.cmu.edu/~ninamf/courses/601sp15/lectures.shtml

Re: Statistical Machine Learning, Spring 2016

#15
post #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 mater…

Thanks! One thing that can definitely set a course apart is having advanced topics + downloadable videos + captions. I really enjoyed the Stanford NLP CS224d videos, which hit all 3 and even have their own torrent [1]. Does anyone know if there's a platform for crowdsourcing video captions, maybe from the anime world? Edit: it appears as though you can correct the auto-generated captions on Youtube videos (perhaps on…

It looks like the videos are hosted on YouTube, which has a caption/subtitle crowdsourcing feature now.

https://support.google.com/youtube/answer/6054623

Re: Statistical Machine Learning, Spring 2016

#17
post #5

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

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.

Re: Statistical Machine Learning, Spring 2016

#18
post #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 mater…

Thanks! One thing that can definitely set a course apart is having advanced topics + downloadable videos + captions. I really enjoyed the Stanford NLP CS224d videos, which hit all 3 and even have their own torrent [1]. Does anyone know if there's a platform for crowdsourcing video captions, maybe from the anime world? Edit: it appears as though you can correct the auto-generated captions on Youtube videos (perhaps on…

I would add assignment solutions to your list of desirable things. Makes it easy to keep moving after getting stuck.

Re: Statistical Machine Learning, Spring 2016

#19

Earlier quoted context omitted.

Thanks! One thing that can definitely set a course apart is having advanced topics + downloadable videos + captions. I really enjoyed the Stanford NLP CS224d videos, which hit all 3 and even have their own torrent [1]. Does anyone know if there's a platform for crowdsourcing video captions, maybe from the anime world? Edit: it appears as though you can correct the auto-generated captions on Youtube videos (perhaps on…

I would add assignment solutions to your list of desirable things. Makes it easy to keep moving after getting stuck.

http://www.cs.cmu.edu/~epxing/Class/10701/

http://www.cs.cmu.edu/~aarti/Class/10701_Spring14/

http://www.cs.cmu.edu/~./10701/

http://alex.smola.org/teaching/cmu2013-10-701/

All of the above have answer keys for the homework assignments.

Re: Statistical Machine Learning, Spring 2016

#20
post #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 mater…

It is also recommended to go through the material of Intermediate Statistics[0] prior to 10-702.

[0] http://www.stat.cmu.edu/~larry/=stat705/

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