Matrix Factorization and Advanced Techniques
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| Rating | 3.7★ based on 19 ratings |
|---|---|
| Length | 7 weeks |
| Starts | Jul 3 (46 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
context aware recommender system
Interview with Francesco Ricci is very knowledgeable about context aware Recommender System.
popularity vs ranking issue.thanks
Week 5 and Week 6 was informative especially the LinkedIn video and Learning to Rank: Interview with Xavier Amatriain in which a problem was discussed of having that popularity vs Ranking issue.Thanks it was quite a lot new things to learn !
same - ratings measurement
Probably getting a bit outdated as the field is moving rapidly into deep learning and other techniques, but the problems faced by any recommendation system developer would be the same - ratings measurement, sparse matrices, ranking metrics... And THAT is probably the best contribution of the whole training: not only talking about the methods but pin-pointing the main REAL problems to solve.REALLY GOOD!!!!!!!
上课水平参差不齐， 所以干货 不多。 另外
内容还是蛮有意思的。 就是 Interview 太多, 而且interview 的人的 上课水平参差不齐， 所以干货 不多。 另外 希望honor assignment 的 参考结果 应该比较 reproducible， 否则很难知道自己的 code 错在哪里。 Content is really interesting, But there are too much interviews, to give students more systematical impression.
参考结果 应该比较 reproducible， 否则很难知道自己的
board have gone unanswered
Complaints on discussion board have gone unanswered for months.
digestible bits without losing
Professors do an excellent job of breaking down this stuff into digestible bits without losing much substance.
my rating 4.5
My Rating 4.5 Great course.
bad task description
The content is overall to little for 6 weeks course and the honor's assignment has very bad task description with errors and lack of validating possibilities.
big plus point
The comprehensive interviews are a big plus point.
covers almost everything
It covers almost everything that is there to be known.
relevant academic fields
The interviews with people from relevant academic fields & industry were particularly usefulI really wish that the programming exercises would be in Python.
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
PSD Team member (MATRIX) $64k
Senior QA Manager & Project Manager (Matrix Functional/Technical) $105k
Recruiter at MATRIX $107k
Senior Financial Analyst, Matrix Technologies $107k
Team Recruiter at MATRIX Lead $113k
Senior Recruiter at MATRIX $119k
QA Manager & Project Manager (Matrix Functional/Technical) Consultant $123k
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| Rating | 3.7★ based on 19 ratings |
|---|---|
| Length | 7 weeks |
| Starts | Jul 3 (46 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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