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CMU's Introduction to Machine Learning Course

alex.smola.org

1–10 of 41 posts

Re: CMU's Introduction to Machine Learning Course

#3
I just showed this link to three classmates who are currently taking the course, and the common reaction was "It's a trap!"

They haven't been very satisfied with it. It's co-taught by two professors, one who teaches like it's an introduction for people who have never heard of Bayes' theorem and one who teaches like it's a graduate seminar for people who've seen it all before.

Re: CMU's Introduction to Machine Learning Course

#4
I think now it is the time we get some tutorial/resources/classes on practical implementation of these ML techniques. Enough of Introduction to ML. How to handle large data (say 6000000 rows), how to convert csv/tbv data to different formats needed for different machine learning libraries for e.g. Weka, LibSVM etc.

Re: CMU's Introduction to Machine Learning Course

#6
post #5

I did the Stanford free online one the first time it was offered a year or so back. Was perfect -- didn't move at a blazing pace and was very lean. Great instructor, highly recommended (though I think it may have been absorbed into Coursera?).

Yes, I'm taking it now.

Edit: https://www.coursera.org/course/ml

Re: CMU's Introduction to Machine Learning Course

#7
post #5

I did the Stanford free online one the first time it was offered a year or so back. Was perfect -- didn't move at a blazing pace and was very lean. Great instructor, highly recommended (though I think it may have been absorbed into Coursera?).

Do you have a link? I would be interested.

Re: CMU's Introduction to Machine Learning Course

#9
post #5

I did the Stanford free online one the first time it was offered a year or so back. Was perfect -- didn't move at a blazing pace and was very lean. Great instructor, highly recommended (though I think it may have been absorbed into Coursera?).

Nope, it's still around on youtube and on the Stanford Engineering Everywhere site. The coursera version of the class is much more introductory and skips significant parts of the full Stanford version.

http://www.youtube.com/watch?v=UzxYlbK2c7E http://see.stanford.edu/see/courseInfo.aspx?coll=348ca38a-3a...

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