Créé par :   University of Minnesota

  • Joseph A Konstan

    Enseigné par :    Joseph A Konstan, Distinguished McKnight Professor and Distinguished University Teaching Professor

    Computer Science and Engineering

  • Michael D. Ekstrand

    Enseigné par :    Michael D. Ekstrand, Assistant Professor

    Dept. of Computer Science, Boise State University
Basic Info
Course 2 of 5 in the Recommender Systems Specialization.
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.0 stars
Average User Rating 4.0See what learners said
Programme de cours

FAQ
Comment cela fonctionne
Travail en cours
Travail en cours

Chaque cours fonctionne comme un manuel interactif en proposant des vidéos préenregistrées, des quiz et des projets.

Aide de la part de vos pairs
Aide de la part de vos pairs

Connectez-vous à des milliers d'autres étudiants et débattez sur des idées, discutez le contenu du cours et obtenez de l'aide pour en maîtriser les concepts.

Certificats
Certificats

Obtenez une reconnaissance officielle pour votre travail et partagez votre réussite avec vos amis, vos collègues et vos employeurs.

Créateurs
University of Minnesota
Tarification
Auditeur libreAcheter le cours
Accéder au contenu du cours

Disponible

Disponible

Accéder au contenu noté

Non disponible

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Recevoir une Note Finale

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Obtenir un Certificat partageable

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Notation et examens
Note moyenne 4 sur 5 sur 27 notes

Awesome Professors!Great Material.Very thankful to Coursera for providing this course.

I love it. Would be cool to be able download all materials in one big .zip file (e.g for searching using grep) ;-)

Overall , it is a very interesting course.

But I would like to say , that there are too many interviews. I think that it is a little bit difficult for some non-native speaker to understand the main and important things from the interview, because some interviewers talked in a very loose way. So I would suggest our teacher , to summarize the main points of those interview in a better way .

Excellent course providing not only the knowledge of algorithms but also useful insights into developing and maintaining recommender systems. Only thing that could use some work is the assignments. Spreadsheet assignment in week 4 is poorly designed (as evidenced by many forum threads with people not knowing what is it that the authors actually want). Other than that, that was an extremely helpful course.