- 6 reviews
- 5 completed
I took this course to refresh my mostly theoretical knowledge of CUDA/OpenCL programming. Course was pretty interesting, starting with basics, and continue to more complex topics. Besides CUDA programming, there were lectures on MPI, OpenCL and some related topics. Lectures were detailed, but professor talked very slow, so 1.50 speed helped a lot. Presence of CUDA capable graphic card on my computer was great help for me, as I was able to debug my programs locally, without using cloud server, as it wasn't working correctly many times. But independent on any problems, this course was very useful for me.
I took this course to teach some basic terminology for logic, etc. (I'm not a native speaker). But after 3 weeks I gave up this class, as it was mostly repetition of the course notes, plus it don't provide good explanation of basics - lecturer just told, do this & do this, and you'll get this. But there were no explanations *why* I should perform this or that substitution, to achieve correct results. Also, getting the only one try for home works/questions is a way too restrictive - you don't get much feedback from your errors, and unable to make corrections. I hope, that this course will be changed in future! P.S. I understand that I should be able to search for additional materials, etc., but I really didn't had much free time...
Very interesting course, with lot of materials. The only minus points are from quizzes - they are too easy, and with repetitions...
I started this course together with my wife, but after she dropped out, I decided to finish it anyway. For me the course was very easy for me, as I program in different languages, and had some experience with R before. But I still found several useful tricks in lectures/tasks. The big problem of course is that it doesn't provide good introduction for non-programmers, and it's hard for them, and it too easy for people who can program...
Very interesting class. This course covers many topics from Natural Language Processing & Information Retrieval. But comparing with Machine Learning course, this course requires that you spend more time teaching yourselves using the books from authors of this course (I had both books already on my bookshelf, so I had a chance to ready them at the end ;-) But beta-version of both books are freely accessible in Internet, so you don't need to buy them). Some home works were very challenging (especially 4,5 & 6), but some were very easy. Anyway, I'm happy that I had a chance to study this course directly from prominent scientists!
I took initial version of this course, when Coursera wasn't founded yet. I want to say, that I really liked this course - lectures & additional materials completely covered everything what I need to make it complete. Andrew Ng has ability to explain complex things in very simple language, and although this course isn't so complex from mathematical point of view, it gave me enough background to start to dig deeper, into mathematical basics of ML and related stuff. Home works were very well designed.