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Recommender Systems Capstone

Recommender Systems,

This capstone project course for the Recommender Systems Specialization brings together everything you've learned about recommender systems algorithms and evaluation into a comprehensive recommender analysis and design project. You will be given a case study to complete where you have to select and justify the design of a recommender system through analysis of recommender goals and algorithm performance. Learners in the honors track will focus on experimental evaluation of the algorithms against medium sized datasets. The standard track will include a mix of provided results and spreadsheet exploration. Both groups will produce a capstone report documenting the analysis, the selected solution, and the justification for that solution.
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Rating 3.2 based on 4 ratings
Length 2 weeks
Effort 1-3 weeks of study, 3-5 hours per week
Starts Jul 31 (39 weeks ago)
Cost $79
From University of Minnesota via Coursera
Instructors Michael D. Ekstrand, Joseph A Konstan
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business Programming
Tags Data Science Business Marketing Machine Learning

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What people are saying

easy since all kind

When I started out, it felt like the job would be very easy since all kind of data were available.

least two weeks prior

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.

recommendation problems are pitched

From experience, I can assert that recommendation problems are pitched in a very similar manner as the one mentioned here.

coursera - peer evaluation

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.

how evaluation criteria match

covered just briefly

next 3 days.if

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!

10 page report

You research, experiment, and write a 10 page report in the first 7 days.

then you grade

capstone.the worst thing

completion from planning

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.

data were available

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Rating 3.2 based on 4 ratings
Length 2 weeks
Effort 1-3 weeks of study, 3-5 hours per week
Starts Jul 31 (39 weeks ago)
Cost $79
From University of Minnesota via Coursera
Instructors Michael D. Ekstrand, Joseph A Konstan
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business Programming
Tags Data Science Business Marketing Machine Learning

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