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.
Prof Yaser S. Abu-Mostafa's Caltech course "Learning from Data" ( http://work.caltech.edu/telecourse ) is probably the best introductory course for really understanding the physics of how machine learning works. See Prof's Yaser's 1 min overview: http://www.youtube.com/watch?v=KlP0DpiM7Lw The "Learning from Data Book" videos are online for free, and the book is on Amazon... Videos: http://home.caltech.edu/lectures.ht…
Re: CMU's Introduction to Machine Learning Course
#41I've got the book. It's a great book, even though the Machine Learning course here at Technion is more Bayesian than AML's seemingly PAC and VC-focused book.