Learner Reviews & Feedback for Recommender Systems Capstone by University of Minnesota
About the Course
1 - 4 of 4 Reviews for Recommender Systems Capstone
By Subhajoy D
•Apr 26, 2018
The problem statement is well structured, and emulates a real-life situation very well. From experience, I can assert that recommendation problems are pitched in a very similar manner as the one mentioned here. The guidelines assist in the student's framing of the solution. One week however, might not be sufficient for completion from planning to execution to summarizing, especially if he/she is interested in the Honors version. In all, this is a must take for anyone to gain practical experience in this field, however, should start at it at least two weeks prior to the starting date, so that he/she doesn't get hurried to complete it.
By Keshaw S
•Apr 26, 2018
This was a very good course, or rather, an end to a fine specialization. When I started out, it felt like the job would be very easy since all kind of data were available. But it proved to be anything but. There was a lot of experimentation and mixing-matching involved. But again, I believe this project has got more to do with doing good planning and choosing evaluation methods to meet business needs, rather than on implementation.
By Nate D
•Apr 26, 2018
The workload was quite reasonable in the first four courses of the recommenders specialization, but this one was a RIDICULOUS amount of work to be done in 10 days. You research, experiment, and write a 10 page report in the first 7 days. Then you grade the first half of three other reports, and last half of three other reports in the next 3 days.
If you decide to take this course, make sure to start at least a week early!
By Oleg D
•Apr 24, 2018
It is the worst capstone project I have seen so far on Coursera - peer evaluation is awfuly orgnaised, cirterias for it are very mechanical and it is not clear how evaluation criteria match the really interesting business case that was provided fir the capstone.
The worst thing is that it is not even clear what to do with the task offered at the capstone, as it is clear that most of the methods described within the course would be not very efficietn with capstone use case, and techniques really suitable for it were covered just briefly during the course.
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