Atheer Al Attar
- 3 reviews
- 3 completed
Great course, Dr. Andrew takes baby steps approach to advance in the course. What I really like about the course is it's greatly organized and the mentors will have all your questions answered. In addition to that all the previous courses of this course were used as lesson learned, so you will find a long forum of errat, best practice and tutorial that 85% will have your issue solved before you think about using the forums. One thing to the new learners, this course requires a bit of time commitment so keep that in mind. I am planning to continue the learning and I am taking Neural Networks for Machine Learning now from the Univ. of Toronto.
Same issue that the data specialization started running through in the last two courses (Fast and Crammed delivery) Dr. Leek pace of lecturing is fast and there is a lot of math and unexplained steps. I had to revert back to the web many times and to watch youtube videos to get more grip in some places. The links he provides at the end of each lecture were good and useful. One of the issue that I have missed is a complete approach on how to start your model ending with the best practices for testing and validation. I am planning [as per Dr. Leek hint] to take Dr. Andrew Ng course on Machine Learning by Stanford as I watched couple lectures on YouTube and they are just great and simple. Good Luck for you if you plan to take this course, not intending to turn you down but you will need extra reading and Video watching
The main issues of this course its fast pace. Prof. Caffo tone of speech and style of lecture delivery is kind of fast and stuffed with information thus you need to stop several times more than you do in other courses for this specialization [ i.e. comparing with Dr. Peng]. Although I have taken statistical analysis in my post. grad I needed to go back and review several topics. The course companion book provided was not the best option for me [I had to refer to some Youtube videos and used the book of Introduction to Statistics and Probability by Mendhell]. I would say that swirl were a good helper after I finished the lectures. The Course project level was not on the same level with the given material to some extent although I managed to solve all the requirements. One good take of this course is I have done good amount of ggplot plots and started to understand how this great package works. Overall, if you are planning to take this course keep in mind that you will need extra working hours comparing with other courses to finish it in a good shape and DONT forget to create a good notebook because you will need every single word, don't count on your short term memory.