There's an open CMU class from 2015 with lectures http://www.cs.cmu.edu/~ninamf/courses/601sp15/lectures.shtml http://www.cs.cmu.edu/~ninamf/courses/601sp15/lec

There's an open CMU class from 2015 with lectures http://www.cs.cmu.edu/~ninamf/courses/601sp15/lectures.shtml http://www.cs.cmu.edu/~ninamf/courses/601sp15/lectures.shtml It assumes you have a working knowledge of probability, linear algebra, statistics and algorithms at the undergrad level but the recitations (also open) are designed to fill these gaps. From there you would start going through the latest journals/papers in ML. There is also a practical data science class that's open with some ML content http://www.datasciencecourse.org/lectures/ http://www.datasciencecourse.org/lectures/ If you can get the entire playlists from youtube before you start watching because often these resources disappear