Geoff Hinton's “Neural Networks for Machine Learning” Is Being Offered Again
coursera.org
coursera.org
The course focuses almost entirely on neural nets rather than taking detours through the rest of machine learning. I recently learned that the well-known optimization technique RMSProp, presented in the slides of this course[1], was not previously published and subsequent papers have been using the course notes as a citation for it. Despite this level of cutting edge knowledge being contained in the course, it was possible (though difficult) for me to follow with no previous machine learning experience and no prerequisites other than the math I learned in the course of getting a CS degree.
[1] http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slid...
Unless I can download all of the content at once, I'm staying away. (This works well for textbooks, but videos can be large. ~40GB/Semester/Class for 720p MIT OCW off youtube)