Probably the best MOOC course on Machine Learning. Professor Andrew Ng is a great teacher - he makes complex algorithms and concepts very lucid and easy to understand, especially for people with no ML/ AI background. The course is very well structured and gives useful practical tips. It does get quite intense at times, especially the vectorization parts in the programming assignments - but the Discussion Forums are a huge help. Many thanks to all the mentors, especially Tom Mosher for his guidance and valuable insights. Two small pieces of feedback -I ended up spending a lot more time on the programming assignments than on the videos themselves.The concepts were clear but the vectorization really made it very difficult to complete the assignments. Is it possible to use some other package instead of Matlab/ Octave, which is perhaps a little more high level and has functionality to do most of the stuff?The second suggestion/ feedback is : I found the time estimates to be very aggressive for a beginner with no ML/ Octave background. So, most of my study planning would routinely get off track. Not sure if most of the people taking this course found them to be OK.Is there a way to download Professor Ngs lecture notes for future reference? Not all the information is present on the slides. And it is difficult to bookmark videos - lecture notes would be a great help.All in all, this was a very interesting course - one I would recommend to colleagues and friends to take. Many thanks to Prof Andrew for his guidance !
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