Bewertung und Feedback des Lernenden für Introduction to Recommender Systems: Non-Personalized and Content-Based von University of Minnesota
Über den Kurs
Top-Bewertungen
BS
12. Feb. 2019
One of the best courses I have taken on Coursera. Choosing Java for the lab exercises makes them inaccessible for many data scientists. Consider providing a Python version.
DP
7. Dez. 2017
Nice introduction to recommender systems for those who have never heard about it before. No complex mathematical formula (which can also be seen by some as a downside).
126 - 127 von 127 Bewertungen für Introduction to Recommender Systems: Non-Personalized and Content-Based
von 박민혜 / 학 / 데
•26. Feb. 2020
수학개념이 부족해서 조금 추상적으로 이해하게 되었습니다.
von Roman O
•5. Nov. 2021
Bad, pretty bad. Too theoretical. I've got felling all the time that a LOT of terms I hearing first time and felling that they was spoken somewhere else, but not here. It is horrible frankenstein of scattered knowledge that lectors pretended to call a 'cource'. I've got more knowledge just from reading few chapters on recomendation systems book, than listening to this.
Coursera Footer
