- 2 reviews
- 2 completed
The Cons: (Hint: I am a pessimist) Jeffrey Ullman, comes off as a robotic monotone speaker doling off essays from his book which is also available freely online. His lectures are a drag and do not be surprised if you cannot understand his lectures. There is no doubt however that he is probably the most accomplished of the 3 lecturers on the topic. John Nash (A beautiful mind), likewise was a brilliant mathematician but no one would argue that he was a terrible teacher. Pros: Anand and Jure do a very good job of their lectures though and that serves for the 3.5 stars I have mentioned in this review. The tests are horrible. there were a lot of mistakes in the answers which had to be rectified multiple times. I am sure this will be taken care of in the future. I believe that the Course Quizzes and Assignment material could have been much much better. That would have easily driven up the review by half a star at least. I would still suggest the course for a theoretical introduction to many of the algorithms in Massive Machine learning.
This is a very basic introductory course to the field of machine Learning. i would have preferred for the examples and tests to have been in R with the use of libraries. It was unclear whether the intent was to learn matlab or to learn machine learning at times. All said and done, i am eagerly awaiting a follow-up more advanced course by Andrew Ng on the topic. I hope you are listening. :-)