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Teaching isn't just about presenting the information to the student. That's basically all you've done. Here, student, read these complex topics and at the end

Teaching isn't just about presenting the information to the student. That's basically all you've done. Here, student, read these complex topics and at the end of it all you will have learned machine learning! The art of being a teacher is much more nuanced. You (apparently) fail to present the material in a way that is accessible, relatable, and not overwhelming. For example, the first thing you say to do is go read a college textbook front to back, and do all the exercises. And you're surprised that nobody has followed your steps?

Datenstrom 6y ago
Yes, you are right. I'm not trying to teach the the dozen or so people who have asked, only to lay out a progression with prerequisites similar to what I did for self learning. I certainly do not have time to be creating courses and problem sets or anything more than answering specific questions. The AIMA book has a lot of open resources around it that I always mention including a full open course I believe, it should all be linked on the site. Although, I also mention that while it is probably not a good idea they can possibly skip it and go right on to the ML course. Both of the Coursera courses are complete with lecture videos and work presented in a very accessible manner including interesting projects.